As part of the team, you will help solve complex business problems by developing viable cutting-edge AI/ML solutions.

You will develop and implement creative solutions that fundamentally transform business processes, delivering breakthrough improvements rather than incremental changes.

You will work closely with other AI/ML researchers and engineers, SWEs, product owners/managers, and business stakeholders, and participate in the full lifecycle of solution development, including requirements gathering with business, experimentation and algorithmic exploration, development, and assistance with productization.

Key Responsibilities:

• Work independently or as part of a team to help design and implement high accuracy and delightful user experience solutions utilizing ML, NLP, GenAI, Agentic technologies.

• Participate in all aspects of solution development, including ideation and requirement gathering with business stakeholders, experimentation and exploration to identify strong solution approaches, solution development, etc.

• Prototype, test, and iterate on novel AI models and approaches to solve complex business challenges.

• Collaborate with cross-functional teams to identify opportunities where AI can create significant business value, and transition solutions into production systems.

• Research and stay updated with the latest advancements in machine learning and AI technologies.

• Participate in code reviews, technical discussions, and knowledge sharing sessions.

• Communicate technical concepts and transformative ideas effectively to both technical and non-technical stakeholders.

Required Skills & Qualifications:

• Bachelor's with 10+ years, Master's with 7+ years, or PhD with 5+ years in Computer Science, Data Science, Machine Learning, or related field.

• Deep expertise and proven ability in developing high accuracy/value solutions to business problems in the NLP, Generative AI, Agentic AI, and/or ML space.

• Hands-on experience with data processing, experimentation, and exploration.

• Strong programming skills in Python.

• Experience with cloud platforms (AWS, Azure, GCP) for deploying ML solutions.

• Excellent problem-solving skills and attention to detail.

• Strong communication skills to collaborate with technical and non-technical stakeholders.

• Ability to work independently and collaboratively.

Additional Preferred Skills & Qualifications:

• Understanding of the financial markets, including experience with financial datasets, is strongly preferred.

• Experience with ML frameworks such as PyTorch, TensorFlow.

• Familiarity with MLOps practices and tools such as SageMaker, MLflow, or Airflow.

• Previous experience working in an Agile environment.

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future.

XML job scraping automation by YubHub

The team includes low-latency Linux, network, datacenter, and C++ engineers focused on our end-to-end trading stack.

Key responsibilities include monitoring and assessing the quality of live and historical market data, detecting, inventorying, and remedying data gaps, maintaining and documenting exchange session times, holiday schedules, timestamp rules, and protocol/microstructure changes, analyzing latency, data rates, bursts, and message flows to understand microstructure behaviour and system performance, cleaning, transforming, and managing an inventory of large-scale datasets, building and improving tools for market data capture, working with vendors and brokers to assess and provision datasets, building and improving tools for data analysis, visualization, and diagnostics on top of captured market and network data, enhancing and extending C++ analytics libraries and exposing them within a Python environment for systematic research and alpha development, and collaborating closely with portfolio managers, quantitative researchers, and engineers to translate trading use cases into robust data and tooling solutions.

Qualifications include a Bachelor's or Master's in Computer Science, Mathematics, Statistics, Engineering, or another quantitative field, or equivalent experience, 3+ years of experience in financial markets, electronic trading, or high-frequency/systematic environments, strong programming skills in Python, C++, and SQL, solid understanding of modern statistical testing methods and comfort working with large, noisy, real-world datasets, experience with Linux, large-scale data processing, and preferably network data (PCAP, timestamping, PTP) and low-latency systems, and strong problem-solving skills, attention to detail, and effective communication with both technical and non-technical stakeholders.

XML job scraping automation by YubHub

At Scale AI, our mission is to accelerate the development of AI applications.

As a Forward Deployed Engineer, you'll be at the forefront of providing the critical data infrastructure that powers the most advanced AI models, directly influencing how humanity interacts with AI.

Responsibilities:

• Drive Impact: Directly contribute to the advancement of AI by delivering critical data solutions for leading AI innovators and government agencies.

• Customer Collaboration: Interact daily with our technical customers, understanding their unique challenges and translating them into impactful solutions.

• End-to-End Development: Design, build, and deploy features across the entire stack, from front-end interfaces to back-end systems and infrastructure.

• Rapid Experimentation: Deliver high-quality experiments quickly, iterating quickly to meet customer needs and drive innovation.

• Strategic Influence: Play a key role in shaping our engineering culture, values, and processes, contributing to the growth of our team and the evolution of our product.

• Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, collaborating with leading AI researchers, and directly influencing the product roadmap.

Requirements:

• At least 2 years of relevant experience is preferred

• Proven track record of shipping high-quality products and features at scale.

• Strong problem-solving skills and the ability to work independently or as part of a collaborative team.

• Desire to thrive in a fast-paced, dynamic environment.

• Ability to turn business and product ideas into engineering solutions.

• Strong coding abilities and the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.

• Ability to adapt quickly to the ever-changing world of generative AI.

• Excited to join a dynamic, hybrid team in either San Francisco or New York City.

Benefits:

• Comprehensive health, dental and vision coverage

• Retirement benefits

• A learning and development stipend

• Generous PTO

• Commuter stipend

Salary Range:

$179,400-$224,250 USD

XML job scraping automation by YubHub

This high-impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting-edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable, and high-impact production systems that enhance enterprise operations, analytics, and core efficiency.

The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus.

Responsibilities

Technical Leadership & Vision

• Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI’s overall AI strategy and business goals.

• Drive Breakthrough Research to Production: Lead the end-to-end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities.

• Core Agent Capabilities Development:

Advanced Knowledge Retrieval: Architect and implement state-of-the-art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises.

Data Analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas.

Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base.

Architecture & Design: Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale.

Technical Excellence: Serve as the technical authority for the team, leading design reviews, defining ML engineering best practices, and ensuring code quality, security, and operational excellence for all agent systems.

Team Leadership & Mentorship

• Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth.

• Recruiting & Growth: Partner with management to hire, onboard, and grow top-tier talent, helping to shape the long-term structure and capabilities of the team.

• Cross-Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high-level business problems into concrete, executable technical specifications and impactful agent solutions.

Basic Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience.

• 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment.

• 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain.

• Deep expertise in Generative AI and Large Language Models (LLMs).

• Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale.

• Experience with large-scale distributed systems and real-time data processing.

Preferred Qualifications

• Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field.

• Demonstrated experience designing and deploying production-grade Text-to-SQL systems, including handling complex schema linking and query optimization.

• Practical experience with Multimodal AI, specifically integrating OCR and vision-language models for document intelligence and structured data extraction from images/forms.

• Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems.

• Experience with vector databases and advanced retrieval techniques.

• A track record of publishing research papers in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD).

• Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers.

• Experience driving cross-team technical initiatives that have delivered significant business impact.

Compensation

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

About Us

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

XML job scraping automation by YubHub

This is not a traditional analytics role. On this team, data scientists do the core statistical and modeling work, but they also build real tools and products: evaluation explorers, operator workflows, decision-support systems, experimentation surfaces, and customer-specific AI/data applications that get used in production.

The right candidate is strong in first-principles problem solving, rigorous measurement, and technical execution. They know how to define metrics, design experiments, diagnose failures, and build systems that people actually use. They are also comfortable using modern AI-assisted development tools to prototype and iterate quickly without sacrificing reliability, observability, or judgment. Python and SQL matter in this role, but as execution fluency in service of building better products and making better decisions.

Responsibilities: Partner directly with enterprise customers to understand workflows, operational pain points, constraints, and success criteria Turn ambiguous business and product problems into measurable solutions with clear metrics, technical designs, and deployment plans Design and build internal and customer-facing data products, including evaluation tools, workflow applications, decision-support systems, and thin product layers on top of data/ML systems Build end-to-end solutions across data ingestion, transformation, experimentation, statistical modeling, deployment, monitoring, and iteration Design evaluation frameworks, benchmarks, and feedback loops for ML/LLM systems, human-in-the-loop workflows, and model-assisted operations Apply rigorous statistical thinking to experimentation, causal inference, metric design, forecasting, segmentation, diagnostics, and performance measurement Use AI-assisted development workflows to accelerate prototyping and product iteration, while maintaining strong engineering discipline Diagnose failure modes across data quality, model behavior, retrieval, workflow design, and user experience, and drive fixes into production Act as the voice of the customer to Product, Engineering, and Data Science, using field learnings to shape roadmap and platform capabilities

Requirements: 5+ years of experience in data science, machine learning, quantitative engineering, or another highly analytical technical role Proven track record of shipping data, ML, or AI systems that delivered measurable business or product impact Exceptional ability to structure ambiguous problems, define the right success metrics, and translate them into executable technical plans Strong foundation in statistics, experimentation, causal reasoning, and measurement Experience building tools or products, not just analyses , for example internal workflow tools, evaluation systems, operator-facing products, experimentation platforms, or customer-specific applications Hands-on fluency in Python, SQL, and modern data/AI tooling; able to inspect data, prototype quickly, debug deeply, and productionize solutions that work Comfort using AI-assisted coding and development workflows to move from idea to usable product quickly Strong communication and stakeholder management skills; able to work effectively with customers, engineers, product teams, and executives High ownership and bias toward shipping in fast-moving environments with incomplete information

Preferred qualifications: Experience in a forward deployed, solutions, consulting, or other client-facing technical role Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign

What success looks like: Success in this role means taking a messy, high-stakes customer problem and turning it into a deployed system that is actually used. Sometimes that system is a model. Sometimes it is an evaluation framework. Sometimes it is an operator-facing tool or a lightweight data product that changes how decisions get made. In all cases, success is defined by measurable impact, rigorous evaluation, and reliable execution.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Salary Range: $167,200-$209,000 USD

XML job scraping automation by YubHub

Your responsibilities will include:

• Owning and architecting large-scale data processing pipelines for robotics and autonomous vehicle datasets
• Building ML training and fine-tuning pipelines using Scale's robotics data
• Working across backend (Python, Node.js, C++) and frontend (React, TypeScript) stacks to build end-to-end solutions
• Developing tools and systems for robotics data collection, teleoperation, and model evaluation
• Interacting directly with robotics and AV stakeholders to understand their technical needs and drive product development
• Building real-time systems for robotic control, sensor fusion, and perception pipelines
• Designing comprehensive monitoring and evaluation frameworks for robotics models and data quality
• Collaborating with ML engineers and researchers to bring robotics research into production
• Delivering features at high velocity while maintaining system reliability and performance

Ideally, you have:

• 3+ years of software engineering experience in robotics, autonomous vehicles, or related fields
• Strong programming skills in Python and TypeScript/Node.js for production systems
• Experience with React and modern frontend development for 3D interfaces
• Practical experience with robotics frameworks (ROS/ROS2), simulation environments, or AV systems
• Understanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)
• Experience with databases (MongoDB, PostgreSQL) and data processing at scale
• Track record of working with cross-functional teams including ML engineers, researchers, and customers
• Strong communication skills and ability to operate with high autonomy

Nice to have:

• Experience with C++
• Experience with robotics hardware platforms (robotic arms, mobile robots, perception systems) with a focus on time synchronization
• Background in computer vision, SLAM, motion planning, or imitation learning
• Familiarity with autonomous vehicle data, lidar technologies, or 3D data processing
• Experience with ML model deployment and serving frameworks
• Knowledge of teleoperation systems (ALOHA, UMI, hand tracking) or VR interfaces
• Experience with workflow orchestration systems (Temporal, Airflow)
• Published research or open-source contributions in robotics or autonomous systems

XML job scraping automation by YubHub

In this role, you'll interact directly with robotics and AV stakeholders to understand their technical needs and drive product development. You'll also design comprehensive monitoring and evaluation frameworks for robotics models and data quality, and collaborate with ML engineers and researchers to bring robotics research into production.

To succeed, you'll need at least 6 years of high-proficiency software engineering experience, with a strong background in complex systems and the ability to independently research, analyze, and unblock hard technical problems. You should have strong programming skills in Python and TypeScript/Node.js for production systems, experience with React and modern frontend development for 3D interfaces, and concurrent and real-time systems expertise.

We're looking for someone who can deliver features at high velocity while maintaining system reliability and performance, and has a track record of working with cross-functional teams including ML engineers, researchers, and customers. Strong communication skills and the ability to operate with high autonomy are essential.

XML job scraping automation by YubHub

Your responsibilities will include:

• Owning and architecting large-scale data processing pipelines for robotics and autonomous vehicle datasets
• Building ML training and fine-tuning pipelines using Scale's robotics data
• Working across backend (Python, Node.js, C++) and frontend (React, TypeScript) stacks to build end-to-end solutions
• Developing tools and real-time systems for robotics data collection, teleoperation, model evaluation, data curation, and data annotation
• Interacting directly with robotics and AV stakeholders to understand their technical needs and drive product development
• Designing comprehensive monitoring and evaluation frameworks for robotics models and data quality

Ideal candidates will have:

• 3+ years of high-proficiency software engineering experience, with a strong background in complex systems and the ability to independently research, analyze, and unblock hard technical problems
• Strong programming skills in Python and TypeScript/Node.js for production systems
• Experience with React and modern frontend development for 3D interfaces
• Concurrent and real-time systems, with special attention to timing constraints
• Understanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)
• Experience with databases (MongoDB, PostgreSQL) and data processing at large scale
• Track record of working with cross-functional teams including ML engineers, researchers, and customers
• Strong communication skills and ability to operate with high autonomy

Nice to have:

• Experience with C++
• Experience with robotics hardware platforms (robotic arms, mobile robots, perception systems) with a focus on time synchronization
• Background in computer vision, SLAM, motion planning, or imitation learning
• Familiarity with autonomous vehicle data, lidar technologies, or 3D data processing
• Experience with ML model deployment and serving frameworks
• Knowledge of teleoperation systems (ALOHA, UMI, hand tracking) or VR interfaces
• Experience with workflow orchestration systems (Temporal, Airflow)
• Published research or open-source contributions in robotics or autonomous systems

XML job scraping automation by YubHub

Our team works on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. You'll work on complex, real-world ML problems at massive scale, and contribute to technical strategy, architecture, and long-term ML roadmap.

Responsibilities:

• Design, build, and deploy production-grade machine learning models and systems at scale
• Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
• Build scalable data and model pipelines with strong reliability, observability, and automated retraining
• Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems
• Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions
• Improve system performance across latency, throughput, and model quality metrics
• Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment

Basic Qualifications:

• 3-5+ years of experience building, deploying, and operating machine learning systems in production
• Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
• ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
• Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
• Experience improving measurable metrics through applied machine learning

Preferred Qualifications:

• Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems
• Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)
• Experience working with real-time systems and low-latency production environments
• Background in feature engineering, model optimization, and production monitoring
• Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale
• Advanced degree in Computer Science, Machine Learning, or related quantitative field

Potential Teams:

• Ads Measurement Modeling
• Ads Targeting and Retrieval
• Advertiser Optimization
• Ads Marketplace Quality
• Ads Creative Effectiveness
• Ads Foundational Representations
• Ads Content Understanding
• Ads Ranking
• Feed Relevance
• Search and Answers Relevance
• ML Understanding
• Notifications Relevance

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

Pay Transparency:

This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is: $185,800-$260,100 USD

XML job scraping automation by YubHub

Key Responsibilities:

• Build cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
• Use data-driven methods and leverage the unique properties of our data to improve candidate retrieval
• Work in a high-impact environment with quick experimentation and product launches
• Keep up with industry trends in recommendation systems

Requirements:

• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
• End-to-end hands-on experience with building data processing pipelines, large-scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
• Degree in computer science, machine learning, statistics, or related field

Nice to Have:

• M.S. or PhD in Machine Learning or related areas
• Publications at top ML conferences
• Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration
• Expertise in scalable real-time systems that process stream data
• Passion for applied ML and the Pinterest product

Relocation Statement:

This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

XML job scraping automation by YubHub

Your responsibilities will include:

• Designing, building, and deploying production-grade machine learning models and systems at scale
• Owning the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
• Building scalable data and model pipelines with strong reliability, observability, and automated retraining
• Working with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems
• Partnering cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions

You'll work on a wide range of high-impact problems across the Reddit ecosystem, including recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, and multimodal embedding systems.

To be successful in this role, you'll need:

• 3-5+ years of experience building, deploying, and operating machine learning systems in production
• Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
• ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
• Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions

Preferred qualifications include experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems, familiarity with distributed systems and large-scale data processing, and experience working with real-time systems and low-latency production environments.

At Reddit, we're committed to building a workforce representative of the diverse communities we serve. We're proud to be an equal opportunity employer and are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

XML job scraping automation by YubHub

We're looking for a Senior Machine Learning Engineer to join our Monetization team. As a key member of the team, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

Key responsibilities include:

• Building cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
• Partnering closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search)
• Using data-driven methods and leveraging the unique properties of our data to improve candidate retrieval
• Working in a high-impact environment with quick experimentation and product launches
• Keeping up with industry trends in recommendation systems

Requirements:

• 2+ years of industry experience applying machine learning methods
• Degree in computer science, statistics, or related field; or equivalent experience
• End-to-end hands-on experience with building data processing pipelines, large-scale machine learning systems, and big data technologies
• Practical knowledge of large-scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems

Nice to have:

• M.S. or PhD in Machine Learning or related areas
• Publications at top ML conferences
• Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration
• Expertise in scalable real-time systems that process stream data
• Passion for applied ML and the Pinterest product
• Background in computational advertising

Relocation Statement:

This position is not eligible for relocation assistance.

XML job scraping automation by YubHub

Your responsibilities will include:

• Building out the backend for Pinner-facing features to power the future of inspiration on Pinterest
• Contributing to and leading each step of the product development process, from ideation to implementation to release
• Partnering with design, product, and backend teams to build end-to-end functionality
• Employing automated testing to build features with a high degree of technical quality
• Growing as an engineer by working with world-class peers on varied and high impact projects

We're looking for candidates with 1+ years of industry backend development experience, proficiency in common backend tech stacks, and experience building & operating large scale distributed systems and/or networks.

As a Pinterest engineer, you'll have the opportunity to:

• Design, develop, and operate large scale, distributed systems and networks
• Work with Engineering customers to understand new requirements and address them in a scalable and efficient manner
• Actively work to improve the developer process and experience in all phases from coding to operation

If you're passionate about building Tomas and working with a talented team, we'd love to hear from you!

XML job scraping automation by YubHub

About Starburst

Starburst is the data platform for analytics, applications, and AI, unifying data across clouds and on-premises to accelerate AI innovation.

About the role

Want to work on systems that actually matter? At Starburst, our backend is the engine behind fast, scalable data access , and as an intern, you won’t be on the sidelines.

You’ll join the team building Starburst Galaxy or Enterprise and start contributing from day one. Real code, real impact, real ownership.

You’ll work on distributed systems, APIs, and data processing pipelines, learning directly from experienced engineers while solving problems that show up in production , not just in theory.

We’ll support your growth, but we’ll also expect you to take initiative, move fast, and ship.

This is a paid, 10-week internship (June 1st – August 28th, 2026).

Responsibilities

• Build backend features used by real customers

• Work on scalable, distributed systems

• Ship code early and often

• Learn modern backend technologies in practice

• Collaborate with engineers across different time zones

• Tackle real-world performance and reliability challenges

What we’re looking for

• You’re excited about backend engineering

• You’ve coded in Java

• You like solving hard problems

• You take ownership and get things done

• You’re curious and learn fast

• You’re a rising Senior or recent graduate

Benefits

All-Stars have the opportunity and freedom to realize their true potential. By building alongside top talent, we’re empowered to take ownership of our careers and drive meaningful change. Anchored in industry-proven technology and unprecedented success, All-Stars are taking on the challenge everyday to disrupt our industry – and the future.

Our global workforce is supported by a competitive Total Rewards program that reflects our commitment to a rewarding and supportive work environment. This includes a variety of benefits like competitive pay, attractive stock grants, flexible paid time off, and more.

We are committed to fostering an intentional, inclusive, and diverse culture that drives deep engagement, authentic belonging, and an exceptional All-Star experience. We believe that diversity of thought, perspective, background and experience will enable us to own what we do, drive our success and empower our All-Stars to show up authentically.

XML job scraping automation by YubHub

In your first 6-12 months, you'll work alongside other analysts who have context on our systems, learning the architecture while bringing fresh perspectives and technical depth. As you gain mastery and systems stabilize, you'll increasingly own pipeline architecture decisions and lead strategic data improvement initiatives.

Key responsibilities include:

• Mastering our company data pipeline architecture, including how data flows from ingestion through profiling, what transforms are applied at each stage, and how components interconnect
• Reading and analyzing production code to understand data transformations, trace data lineage, and assess how proposed changes would impact the system
• Developing frameworks for evaluating tradeoffs between technical complexity, implementation effort, and customer impact
• Creating clear documentation, system maps, and knowledge resources that capture architecture decisions, dependencies, and design rationale

• Contributing to pipeline evolution and infrastructure improvements by participating in design conversations with Engineering and Product, validating pipeline improvements through rigorous testing, and translating data quality investigations and emerging requirements into system-level improvement opportunities

• Solving complex, ambiguous data challenges by leading or contributing to data improvement initiatives that require both systems thinking and creative problem-solving

• Building partnerships and institutional knowledge by developing strong working relationships with Data Acquisition, Product, Engineering, and fellow data analysts, conducting impact analyses and validation studies, and documenting your learning, approaches, and insights

We're looking for a highly skilled individual with a strong background in data analytics, data engineering, or related technical roles. You should have experience working with data pipelines, ETL systems, or data processing infrastructure, and be able to read and understand code (Python, Java, SQL, or similar) to analyze data transformations, understand system logic, and assess technical feasibility.

Required qualifications include:

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field
• 5+ years of experience in data analytics, data engineering, or related technical roles
• Experience working with data pipelines, ETL systems, or data processing infrastructure
• Ability to read and understand code (Python, Java, SQL, or similar)
• Strong programming skills in Python and SQL for data analysis and manipulation
• Experience solving ambiguous, multi-faceted data problems that required figuring out the approach, not just executing a well-defined analysis
• Demonstrated ability to work effectively with Engineering and/or Product teams, translating between technical implementation and business/customer needs
• Strong analytical skills with ability to investigate complex issues systematically
• Excellent communication skills,able to explain technical concepts clearly to diverse audiences
• Self-directed with strong ownership mentality,you drive your work forward and know when to seek input

Preferred qualifications include experience with company data, business data, web data acquisition, or data quality initiatives, as well as experience with data profiling, entity resolution, record linkage, or data matching systems.

XML job scraping automation by YubHub

The Money team's mission at Databricks is to maximise the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialisation strategies and cutting-edge engineering.

As a Sr. Software engineer on the Money team, you will be closely involved in the entire billing process, including usage ingestion, metering, pricing, credits, promotions, payments, usage reporting, and cost centre and budgeting.

Your role is crucial in democratising data by bringing Databricks products to market. By collaborating with marketing, product teams, commercialisation experts, data scientists, IT, and customer support, you will standardise billing experiences across major cloud providers, offering our customers a unified 'sky computation' experience.

This role involves utilising the latest Databricks products and tools within the ecosystem.

The impact you will have:

• Design and manage the Money systems and services, commercialising all Databricks products and offerings.

• Develop innovative primitives that enable and support various pricing strategies such as Pay-As-You-Go, commissions, credits, trials, and promotions.

• Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.

• Collaborate with commercialisation experts to develop and implement innovative pricing strategies and plans.

• Use AI and LLMs to innovate in cost insight, prediction, and optimisation across various cloud providers.

• You will become an expert at using the Databricks Data + AI tools

• Provide leadership in long-term vision and requirements development for Databricks products, in partnership with our engineering teams.

• Represent Databricks at academic and industrial conferences & events.

XML job scraping automation by YubHub

This role is perfect for an engineer who enjoys working close to the metal and across the research boundary. You'll collaborate with researchers and systems architects to bridge algorithmic design with hardware efficiency. You'll prototype new kernel implementations, profile performance across hardware generations, and help define the numerical and parallelism strategies that determine how we scale next-generation AI systems.

Responsibilities

• Design and implement custom ML kernels (e.g., CUDA, CuTe, Triton) for core LLM operations such as attention, matrix multiplication, gating, and normalization, optimized for modern GPU and accelerator architectures.
• Design and think through compute primitives to reduce memory bandwidth bottlenecks and improve kernel compute efficiency.
• Collaborate with research teams to align kernel-level optimizations with model architecture and algorithmic goals.
• Develop and maintain a library of reusable kernels and performance benchmarks that serve as the foundation for internal model training.
• Contribute to infrastructure stability and scalability, ensuring reproducibility, consistency across precision formats, and high utilization of compute resources.
• Document and share insights through internal talks, technical papers, or open-source contributions to strengthen the broader ML systems community.

Skills and Qualifications

Minimum qualifications:

• Bachelor’s degree or equivalent experience in computer science, electrical engineering, statistics, machine learning, physics, robotics, or similar.
• Strong engineering skills, ability to contribute performant, maintainable code and debug in complex codebases
• Understanding of deep learning frameworks (e.g., PyTorch, JAX) and their underlying system architectures.
• Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts.
• A bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships.
• Proficiency in CUDA, CuTe, Triton, or other GPU programming frameworks.
• Demonstrated ability to analyze, profile, and optimize compute-intensive workloads.

Preferred qualifications:

• Experience training or supporting large-scale language models with tens of billions of parameters or more.
• Track record of improving research productivity through infrastructure design or process improvements.
• Experience developing or tuning kernels for deep learning frameworks such as PyTorch, JAX, or custom accelerators.
• Familiarity with tensor parallelism, pipeline parallelism, or distributed data processing frameworks.
• Experience implementing low-precision formats (FP8, INT8, block floating point) or contributing to related compiler stacks (e.g., XLA, TVM).
• Contributions to open-source GPU, ML systems, or compiler optimization projects.
• Prior research or engineering experience in numerical optimization, communication-efficient training, or scalable AI infrastructure.

XML job scraping automation by YubHub

Key requirements for this role include 5+ years experience working in database systems, data processing or related domains, experience building highly available cloud services on AWS, GCP or Azure, building, growing and managing high performance teams, experience defining and meeting SLOs for highly available systems, ability to attract and hire engineers who meet the Databricks hiring standards, and comfort working cross-functionality with product management and partners to build products that drive user growth.

XML job scraping automation by YubHub

Within Data Infra, you may be matched to critical business areas including:

• Data Governance & Access Control: Design and implement robust access control systems ensuring only authorized users can access sensitive data.
• Financial Data Infrastructure: Build and maintain data pipelines and warehouses powering business-critical reporting.
• Cloud Storage & Reliability: Architect disaster recovery, backup, and replication systems for petabyte-scale data.
• Data Platform & Tooling: Scale data processing infrastructure using technologies like BigQuery, BigTable, Airflow, dbt, and Spark.

You'll work directly with data scientists, analysts, and business stakeholders while diving deep into cloud infrastructure primitives.

To be successful in this role, you'll need:

• 10+ years of experience in a Software Engineer role, building data infrastructure, storage systems, or related distributed systems.
• 3+ years of experience leading large scale, complex projects or teams as an engineer or tech lead.
• Deep experience with at least one of:
• Strong proficiency in programming languages like Python, Go, Java, or similar.
• Experience with infrastructure-as-code (Terraform, Pulumi) and cloud platforms (GCP, AWS).
• Can navigate complex technical tradeoffs between performance, cost, security, and maintainability.
• Have excellent collaboration skills - you work well with both technical and non-technical stakeholders.

Strong candidates may also have:

• Background in data warehousing, ETL/ELT pipelines, or analytics infrastructure.
• Experience with Kubernetes, containerization, and cloud-native architectures.
• Track record of improving data reliability, availability, or cost efficiency at scale.
• Knowledge of column-oriented databases, OLAP systems, or big data processing frameworks.
• Experience working in fintech, financial services, or highly regulated environments.
• Security engineering background with focus on data protection and access controls.

Technologies We Use:

• Data: BigQuery, BigTable, Airflow, Cloud Composer, dbt, Spark, Segment, Fivetran.
• Storage: GCS, S3.
• Infrastructure: Terraform, Kubernetes, GCP, AWS.
• Languages: Python, Go, SQL.

The annual compensation range for this role is $405,000-$485,000 USD.

XML job scraping automation by YubHub

Day-to-day, you'll work across the stack - from React-based frontends to backend services running on Kubernetes - while integrating AI/LLM capabilities into real-world applications. This role offers high visibility and the opportunity to directly influence how data is consumed and operationalized across the company.

The ideal candidate has 7+ years of experience building production-grade software applications, including both backend services and modern web frontends. They should have strong proficiency in backend programming languages (Python, Go, Java, C#) and frontend programming languages (JavaScript, TypeScript).

In addition to technical skills, the successful candidate will be a curious and creative problem-solver who is passionate about building user-facing applications that turn complex data into intuitive experiences. They should be able to take ownership of complex systems end-to-end, from design through deployment and iteration.

At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

itertools[''] -> Be Curious at Your Core itertools[''] -> Act Like an Owner itertools[''] -> Empower Employees itertools[''] -> Deliver Best-in-Class Client Experiences itertools[''] -> Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems.

XML job scraping automation by YubHub

The design space of biomolecules is unimaginably vast , far beyond what can be explored experimentally. Yet within this space lie molecules with properties essential for new medicines. Our machine learning models learn to design therapeutic biomolecules with specific, desirable functions.

We advance the state of the art in molecular design by training large-scale foundation models and developing cutting-edge generative approaches. The models learn from diverse heterogeneous datasets and are refined through focused fine-tuning and feedback from experiments. Key to progress is a team that combines exceptional machine learning expertise with thorough domain understanding.

You will collaborate closely with other machine learning researchers and engineers, as well as computational and experimental biologists, to advance these models and translate their capabilities into real therapeutic designs.

Responsibilities

• Embody our vision of an interdisciplinary environment and embrace learning about areas outside of your traditional area of expertise

• Develop, implement, train, and iteratively improve state-of-the-art models for biomolecule design

• Analyze, visualize, and communicate results to support team efforts in improving models and data

• Create, deploy, and refine tools for efficient, reliable machine learning experimentation and production

• Work with biologists to collect data for the training and evaluation of generative models of biomolecules

• Provide mentorship and technical direction to team members as appropriate

Qualifications

• 3+ years of hands-on experience developing ML models

• Demonstrated track record of implementing, training, improving advanced machine learning models

• Highly capable programmer fluent in Python ecosystem and PyTorch or similar deep learning framework

• Availability to work with team members across US and Europe, with meetings starting at 8am PT and ending at 7pm CET

• Readiness to travel several times a year for company retreats and business events

Compensation

$200K – $275K + Bonus + Equity

Benefits

• A competitive compensation package

• 30 days paid vacation per year

• Comprehensive health insurance for US based employees

• 401K with company match for US based employees and Direktversicherung for German employees

• Quarterly company-wide retreats

• Monthly wellness benefit

• Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland

• Learning & Development budget to attend conferences, take courses, or otherwise invest in your professional growth, as well as access to the Learning & Development platform EdX and Hone

• A buddy to help you get settled

At Inceptive, we are creating tools to develop increasingly powerful biological software for the rational design of novel, broadly accessible medicines and biotechnologies previously out of reach. Our team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming interdisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields.

XML job scraping automation by YubHub

Your work will involve developing data models that enable the efficient analysis and manipulation of data for merchandising optimization, ensuring data quality, consistency, and accuracy. You'll also develop high-quality data assets for product use-cases by partnering with Product, AI/ML, and Data Science teams.

As a Senior Data Engineer, you'll contribute to creating standards and best practices for Airbnb's Data Engineering and shape the tools, processes, and standards used by the broader data community. You'll collaborate with cross-functional teams to define data requirements and deliver data solutions that drive merchandising and sales improvements.

To succeed in this role, you'll need 6+ years of relevant industry experience, a BE/B.Tech in Computer Science or a relevant technical degree, and hands-on experience in DSA coding, data structure, and algorithm. You'll also need extensive experience designing, building, and operating robust distributed data platforms and handling data at the petabyte scale.

XML job scraping automation by YubHub

This position requires a blend of systems engineering expertise, hands-on technical proficiency, and a deep understanding of complex test environments. You will be responsible for defining the architectural roadmap, integrating cutting-edge sensors, data acquisition systems, and telemetry solutions, and ensuring the robust operation of our mission-critical test assets.

Responsibilities

• Architectural Design & Development:
• Lead the architectural design, development, and evolution of comprehensive instrumentation systems and associated range infrastructure for complex test and evaluation systems.
• Define system requirements, specifications, and interface control documents (ICDs) for new and upgraded range capabilities.
• Develop long-term architectural roadmaps, technology insertion plans, and strategic upgrades to maintain state-of-the-art range capabilities.
• Instrumentation Systems Engineering:
• Select, integrate, and validate various instrumentation technologies including, but not limited to: telemetry (RF/Optical), radar, optics (high-speed cameras, IR, EO), GPS/PNT, environmental sensors, and acoustic arrays.
• Design and implement robust data acquisition (DAQ), processing, storage, and analysis pipelines to support real-time and post-test data needs.
• Develop and manage calibration procedures and ensure accuracy and traceability of all instrumentation.
• Range Infrastructure Development:
• Design and oversee the implementation of critical range infrastructure components, such as fiber optic networks, RF distribution systems, power distribution, communication systems, timing and synchronization, and environmental controls for instrumentation shelters.
• Perform RF Survey analysis to ensure noise floor is within desired tolerance ranges for various test sites and environments.
• Ensure network connectivity, cybersecurity, and data security for all instrumentation systems across the range.
• Coordinate with facility engineers and construction teams for physical infrastructure modifications and deployments.
• Test & Operations Support:
• Collaborate closely with test directors, mission planners, range operators, and data analysts to understand requirements and provide technical solutions.
• Provide expert support during testing, anomaly resolution, and post-test data analysis.
• Ensure compliance with all relevant range safety, security, environmental, and regulatory requirements.
• Technical Leadership & Mentorship:
• Provide technical leadership, guidance, and mentorship to junior engineers and cross-functional teams.
• Conduct trade studies, feasibility analyses, and risk assessments for proposed architectural changes and technology investments.
• Prepare detailed technical reports, presentations, and documentation for internal stakeholders and external customers.

Required Qualifications

• Bachelor's degree in Electrical Engineering, Aerospace Engineering, Systems Engineering, Computer Science, or a related technical field.
• 15+ years of progressive experience in instrumentation systems architecture, leadership, or complex range infrastructure development, preferably within the defence or aerospace industry.
• Demonstrated experience in systems architecture development for complex real-time systems.
• Strong understanding of data acquisition (DAQ) principles, telemetry systems (e.g., IRIG 106), RF systems, and various sensor technologies.
• Proficiency with system modeling tools (e.g., SysML, MATLAB/Simulink), CAD software, and/or programming languages (e.g., Python, C++).
• Extensive experience in the design, development, integration, operation, and maintenance of test range infrastructure and instrumentation supporting high-speed weapons systems and Unmanned Aerial Vehicles (UAVs)/drones.
• Experience with network design, distributed systems, and real-time data processing.
• Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences.
• Ability to work independently, manage multiple priorities, and lead technical efforts within a team environment.
• Ability to travel as required to multiple test locations CONUS and OCONUS.
• Must be able to obtain and maintain a U.S. Security Clearance (Secret or Top Secret preferred).

Preferred Qualifications

• Master's or Ph.D. in a relevant engineering discipline.
• Experience with specific missile test range instrumentation, such as high-speed video systems, precision timing systems, advanced radar tracking, or target scoring systems.
• Knowledge of cybersecurity best practices and implementation for critical infrastructure and classified systems.
• Familiarity with industry standards (e.g., IRIG, MIL-STD-1553, ARINC 429).
• Project management experience (PMP certification a plus).
• Hands-on experience with hardware design, prototyping, and testing.

XML job scraping automation by YubHub

This position requires deep technical expertise in API design, cloud architecture, and hands-on development experience. If you thrive on solving complex technical challenges, enjoy creating great developer ecosystems, and are passionate about creating mission-critical solutions at scale, then this role is for you.

Key Responsibilities:

• Work on our developer portal to enhance partner engagement and streamline the integration process
• Develop infrastructure to simplify the exposure of APIs and SDKs for external developers
• Build and maintain sample applications, SDKs, and technical frameworks that enable partners to implement sophisticated solutions
• Provide technical leadership during partner onboarding, guiding their engineering teams through complex integration scenarios
• Create proof-of-concept applications and reference architectures that demonstrate advanced Lattice capabilities and integration patterns
• Collaborate with engineering teams to influence the platform roadmap based on real-world implementation challenges
• Conduct technical reviews of partner architectures and provide recommendations for optimization and scalability
• Troubleshoot complex integration issues and provide hands-on technical support for mission-critical deployments
• Evangelize best practices for building resilient, secure, and performant applications on the Lattice platform

Requirements:

• 5+ years of experience as a Senior Software Engineer with customer-facing responsibilities
• Strong programming experience in multiple languages (Python, Java, Go, C++, or similar) with demonstrated ability to build production-grade applications
• Deep expertise in distributed systems architecture, including microservices, event-driven architectures, and API gateway patterns
• Experience with CI/CD pipelines, infrastructure as code, and DevOps practices
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes)
• Proven track record of designing and implementing complex system integrations in enterprise environments
• Experience with API technologies including REST, gRPC, GraphQL, and real-time communication protocols (WebSockets, message queues)
• Strong understanding of security patterns, authentication/authorization frameworks, and data protection in distributed systems
• Excellent technical communication skills with the ability to present complex architectural concepts to both technical and non-technical stakeholders
• Must be a U.S. Person due to required access to U.S. export-controlled information or facilities

Preferred Qualifications:

• Experience architecting solutions for defence, aerospace, or other mission-critical industries
• Background in edge computing, IoT architectures, or real-time data processing systems
• Knowledge of air-gapped environments, offline-first architectures, and high-availability system design
• Open source contributions to architectural frameworks or developer tools
• Experience mentoring engineering teams and leading technical design reviews
• Advanced degree in Computer Science, Engineering, or related technical field

Salary Range: $191,000-$253,000 USD

XML job scraping automation by YubHub

Air Dominance & Strike (AD&S) is responsible for autonomous robotics systems like the Fury unmanned fighter jet and the Barracuda family of advanced effects. The AD&S Vehicle Software team is responsible for the software running on these systems. Our software engineers collaborate with other engineering disciplines to develop software for vehicle control, networking, sensor integration, and telemetry.

We are looking for engineers excited to build the foundational vehicle software stack that supports the wide range of AD&S initiatives, from early concept simulation to first flight to live operations to large scale fleet management.

Required Qualifications

• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• BS, MS, or PhD in Computer Science, Software Engineering, Mathematics, Physics, or related field
• 3+ years of production-grade C++ and/or Rust experience in a Linux development environment
• Experience building software solutions involving significant amounts of data processing and analysis
• Ability to quickly understand and navigate complex systems and established code bases
• A desire to work on critical software that has a real-world impact
• Travel up to 30% of time to build, test, and deploy capabilities in the real world

Preferred Qualifications

• Strong background with focus in Physics, Mathematics, and/or Motion Planning to inform modeling & simulation (M&S) and physical systems
• Developing and testing multi-agent autonomous systems and deploying in real-world environments.
• Feature and algorithm development with an understanding of behavior trees.
• Developing software/hardware for flight systems and safety critical functionality.
• Distributed communication networks and message standards
• Knowledge of military systems and operational tactics

Compensation and Benefits

US Salary Range $166,000-$220,000 USD

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:

Healthcare Benefits

• US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.
• UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.
• IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.

Additional Benefits

• Income Protection: Anduril covers life and disability insurance for all employees.
• Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.
• Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.
• Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available.
• Professional Development: Annual reimbursement for professional development
• Commuter Benefits: Company-funded commuter benefits based on your region.
• Relocation Assistance: Available depending on role eligibility.

Retirement Savings Plan

• US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.
• UK & IE Roles: Pension plan with employer match.
• AUS Roles: Superannuation plan.

Protecting Yourself from Recruitment Scams

Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.

To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:

No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.

Please always verify communications:

• Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.
• Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.

Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.

What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.

Data Privacy

XML job scraping automation by YubHub

Required qualifications include a strong engineering background, 3+ years of experience with various programming languages, and the ability to quickly understand and navigate complex systems and established code bases. Preferred qualifications include a strong background in physics, mathematics, and/or motion planning to inform modeling & simulation (M&S) and physical systems.

As a Mission Software Engineer, you will have the opportunity to work on critical software that has a real-world impact. You will be part of a team that is passionate about developing innovative solutions to complex problems. We offer a highly competitive salary range of $166,000-$220,000 USD, as well as top-tier benefits, including comprehensive medical, dental, and vision plans, income protection, generous time off, and more.

If you are a motivated and experienced software engineer looking for a challenging and rewarding role, we encourage you to apply.

XML job scraping automation by YubHub

This is an exciting opportunity to solve challenging problems and make a big impact as we invest in making technographics a first-class offering.

Key Responsibilities:

• Build and optimize big data pipelines to extract and process signals from the web, job postings, and other sources
• Design and implement data architectures and storage solutions to efficiently handle massive data volumes
• Collaborate closely with data scientists to support and integrate ML models into data workflows
• Continuously improve data quality, performance, and scalability of our technographic data platform
• Drive technical strategy and roadmap for the data processing infrastructure

Requirements:

• Extensive experience building and scaling big data pipelines and architectures from scratch
• Deep expertise in big data frameworks (Hadoop, Spark) and the JVM stack (Java, Scala)
• Strong software engineering fundamentals and ability to write efficient, high-quality code
• Experience with entity recognition and NLP techniques a plus
• Proven track record delivering results and driving projects in a fast-paced environment
• Excellent collaboration and communication skills to work with data scientists, analysts and product teams
• Passion for leveraging huge datasets to power valuable insights

Ideal Background:

• 8+ years of experience in software engineering roles
• Experience working with very large datasets and distributed systems
• Familiarity building data pipelines at large tech companies or data-driven organisations
• Bachelor's or advanced degree in Computer Science, Engineering or related technical field

XML job scraping automation by YubHub

Key Responsibilities:

• Own the mission autonomy systems and services that are deployed to customers.
• Write code to improve products and scale the mission capability to more customers.
• Collaborate across multiple teams to plan, build, and test complex functionality.
• Create and analyze metrics that are leveraged for debugging and monitoring.
• Triage issues, root cause failures, and coordinate next-steps.
• Partner with end-users to turn needs into features while balancing user experience with engineering constraints.
• Travel up to 25% of the time to build, test, and deploy capabilities in the real world.

Requirements:

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics.
• 4+ years of professional industry experience working with C++ or Rust programming languages.
• Experience building software solutions involving significant amounts of data processing and analysis.
• Ability to quickly understand and navigate complex systems and established code bases.
• A desire to work on critical software that has a real-world impact.
• Must be willing to travel up to 25% for testing and demonstrations.
• Eligible to obtain an active U.S. Secret security clearance.

Preferred Requirements:

• Strong background with focus in Physics, Mathematics, and/or Motion Planning to inform modeling & simulation (M&S) and physical systems.
• Developing and testing multi-agent autonomous systems and deploying in real-world environments.
• Feature and algorithm development with an understanding of behavior trees.
• Developing software/hardware for flight systems and safety critical functionality.
• Experience with distributed communication networks and message standards.

XML job scraping automation by YubHub

Key responsibilities include owning the software solutions that are deployed to customers, writing code to improve products and scale the mission capability to more customers, collaborating across multiple teams to plan, build, and test complex functionality, creating and analyzing metrics that are leveraged for debugging and monitoring, triaging issues, root cause failures, and coordinating next-steps, partnering with end-users to turn needs into features while balancing user experience with engineering constraints, and traveling up to 25% of the time to build, test, and deploy capabilities in the real world.

Requirements include a strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics, 3+ years working with a variety of programming languages such as C++, Rust, or Python, experience building software solutions involving significant amounts of data processing and analysis, ability to quickly understand and navigate complex systems and established code bases, a desire to work on critical software that has a real-world impact, and eligibility to obtain and maintain a U.S. TS clearance.

XML job scraping automation by YubHub

Our team is responsible for building systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. You will work on high-impact systems that improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems.

As a Senior Machine Learning Engineer, you will:

• Design, build, and deploy production-grade machine learning models and systems at scale
• Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
• Build scalable data and model pipelines with strong reliability, observability, and automated retraining
• Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems
• Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions
• Improve system performance across latency, throughput, and model quality metrics
• Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment

Basic Qualifications:

• 3-5+ years of experience building, deploying, and operating machine learning systems in production
• Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
• ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
• Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
• Experience improving measurable metrics through applied machine learning

Preferred Qualifications:

• Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems
• Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)
• Experience working with real-time systems and low-latency production environments
• Background in feature engineering, model optimization, and production monitoring
• Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale
• Advanced degree in Computer Science, Machine Learning, or related quantitative field

Potential Teams:

• Ads Measurement Modeling
• Ads Targeting and Retrieval
• Advertiser Optimization
• Ads Marketplace Quality
• Ads Creative Effectiveness
• Ads Foundational Representations
• Ads Content Understanding
• Ads Ranking
• Feed Relevance
• Search and Answers Relevance
• ML Understanding
• Notifications Relevance

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

Pay Transparency:

This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is $216,700-$303,400 USD

XML job scraping automation by YubHub

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold.

As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. Anduril is developing and deploying an integrated system to make UxVs highly effective through the entire mission lifecycle. From fleet management, to mission planning, live execution, and integrations into other DOD systems, Lattice is enabling the military to fight at scale with robots across all domains.

Your Job is to design, implement, and evolve the means by which Agents interact with classical software systems. You will contribute to test and eval infrastructure, deployment software, agent tool calling, prompt engineering, and other agent techniques in order to achieve best-in-class performance with frontier and edge deployed models. You will increase the performance and quality of agentic interaction patterns, and you will expand the surface area by which Agents can interact with the overall Lattice system.

Required Qualifications:

• Demonstrated deep knowledge of the implementation and use of LLM’s
• Experience integrating agents into classical systems
• Strong programming skills in Python or other core languages (Java, Go etc)
• PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience.

Preferred Qualifications:

• Experience with simulation or real-world validation for autonomous vehicles is highly desirable
• Novel application track record and experience including first author publications, participation in peer reviewed conferences, contribution to open source projects, and demonstrated contribution to the ML and AI community.
• Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar).
• Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines.
• Familiarity with C/C++ is a plus.
• General software engineering experience solving motion planning or related robotics problems.

US Salary Range $191,000-$253,000 USD

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package.

Additional Benefits:

• Healthcare Benefits - US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.
• UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.
• IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.
• Income Protection: Anduril covers life and disability insurance for all employees.
• Generous time off: Highly competitive PTO plans with a holiday hiatus in December.
• Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.
• Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.
• Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching.
• Additional work-life services, such as legal and financial support, are also available.
• Professional Development: Annual reimbursement for professional development.
• Commuter Benefits: Company-funded commuter benefits based on your region.
• Relocation Assistance: Available depending on role eligibility.
• Retirement Savings Plan - US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.
• UK & IE Roles: Pension plan with employer match.
• AUS Roles: Superannuation plan.

Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.

To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:

• No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
• Please always verify communications:
• Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.
• Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency.
• Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage.
• Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
• What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com.

Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice.

XML job scraping automation by YubHub

Responsibilities:

• Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
• Develop ML models & DS methods to for improved anomaly detection, prediction, pattern recognition
• Communicate findings and recommendations to stakeholders across the organization
• Collaborate with product, engineering, sales, and marketing partners to define product and program requirements and translate them into data science solutions
• Stay up-to-date on the latest advancements in machine learning and data science

Qualifications:

• Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
• For M.S. holders: 3+ years of industry experience in applied science or data science roles
• For Ph.D. holders: 2+ years of industry experience in applied science or data science roles
• Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
• Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus
• Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
• Experience with SQL and relational databases
• Excellent communication and presentation skills

Bonus Points:

• Experience with online advertising and ad tech
• Experience with causal inference and A/B testing
• Contributions to open-source projects or publications in relevant conferences or journals

Benefits:

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Comprehensive Medical Benefits & Health Care Spending Account
• Registered Retirement Savings Plan with matching contributions
• Income Replacement Programs
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

XML job scraping automation by YubHub

In this role, you will specialize in improving and optimizing our ads auction and pricing mechanism which will have a direct impact on upleveling the utility for both our advertiser and user values. You will also have the opportunity to work on other org-wide strategic initiatives such as supply optimization and ad relevance, where you will drive and execute on Reddit’s vision to transform Reddit into an advertising platform that shows the right ads to the right users at the right time in the right context.

As a Staff Machine Learning Engineer in the Ads Marketplace Quality team, you will be an industry technical leader with domain knowledge in ads marketplace dynamics, auction and pricing, you will research, formulate, and execute on our mission to build end-to-end algorithmic solutions and deliver values to all the three-sided participants to our marketplace.

Responsibilities:

• Lead and oversee the strategy development, quarterly planning and day-to-day execution of initiatives related to ads marketplace, auction and pricing.
• Proactively further our understanding of marketplace dynamics and develop algorithms to improve the efficiency and effectiveness of our ads marketplace, auction and pricing.
• Oversee end-to-end ML workflows,from data ingestion and feature engineering to model training, evaluation, and deployment,that optimizes the ads marketplace efficiency.
• Be a mentor, lead both junior and senior engineers in implementing technical designs and reviews. Fostering a culture of innovation, technical excellence, and knowledge sharing across the organization.
• Be a cross-functional advocate for the team, collaborate with cross-functional teams (e.g., product management, data science, PMM, Sales etc.) to innovate and build products.

Required Qualifications:

• 8+ years of experience with industry-level product development, with at least 5+ years focused on data-driven, marketplace-optimization problem space at scale.
• Strong knowledge of ads marketplace optimization. Demonstrated experience architecting ads marketplace design, improving and optimizing ads auction and pricing mechanisms.
• Solid understanding of large-scale data processing, distributed computing, and data infrastructure (e.g., Spark, Kafka, Beam, Flink).
• Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries for feature engineering, model training, and inference.
• Proficiency with programming languages (Java, Python, Golang, C++, or similar) and statistical analysis.
• Proven technical leadership in cross-functional settings, driving architectural decisions and influencing stakeholders (product, data science, privacy, legal).
• Excellent communication, mentoring, and collaboration skills to align teams on a long-term vision for ads marketplace optimization.

Benefits:

• Comprehensive Healthcare Benefits
• 401k Matching
• Workspace benefits for your home office
• Personal & Professional development funds
• Family Planning Support
• Flexible Vacation (please use them!) & Reddit Global Wellness Days
• 4+ months paid Parental Leave
• Paid Volunteer time off

XML job scraping automation by YubHub

We're seeking a Senior Data Systems Analyst to become the expert on our company data pipeline,the system that ingests, processes, and profiles millions of company records that power our customers' go-to-market strategies. In this role, you'll build deep expertise in how our company data flows from acquisition through profiling and output. You'll read code to understand data transformations and system dependencies, bring informed opinions to design conversations with Engineering and Product, and help shape the evolution of our next-generation data infrastructure.

As you build mastery of our systems, you'll increasingly lead strategic data improvement initiatives that require both systems thinking and creative problem-solving. This isn't about building dashboards or SQL reports. This is about understanding data systems at an architectural level, solving ambiguous data challenges, and ensuring our pipeline infrastructure continuously evolves to meet customer needs and maintain competitive advantage.

You'll work closely with other data analysts during an active infrastructure transition period, and as systems stabilize and your expertise deepens, you'll progressively own more of the pipeline architecture and strategic initiatives. This is a role with significant growth runway for someone who wants to become the go-to technical expert on company data systems.

Who You Are

Systems Thinker with Technical Depth: You understand how data systems work, not just what they produce. You've worked with data pipelines, ETL systems, or data processing infrastructure,maybe you've improved one, debugged one, or owned components of one. You can read code (Python, Java, SQL, or similar) well enough to understand data transformations and trace how data flows through systems.

Opinionated Technical Contributor: You don't just execute,you have informed opinions on how things should work. You can assess technical tradeoffs, evaluate whether a proposed solution is feasible, and contribute meaningfully to design conversations with engineers.

Growth-Oriented Problem Solver: You're excited to build deep expertise in a complex domain and grow into leading strategic initiatives. You've tackled ambiguous problems that required figuring things out as you went, and you want to expand your project leadership capabilities in a systems-focused environment.

Analytical and Hands-On: You're equally comfortable writing code to analyze data patterns and manually investigating edge cases to understand what's really happening. You dig into details when needed and know when to zoom out to see the bigger picture.

Clear Communicator: You can explain technical complexity to non-technical audiences. You've worked effectively with Engineering, Product, or cross-functional teams, translating between technical constraints and business needs.

Comfortable with Ambiguity: You thrive in evolving environments where priorities shift and problems aren't always well-defined. You maintain momentum and quality even when the path forward isn't perfectly clear.

What You'll Do

In your first 6-12 months, your primary focus will be building deep expertise in our pipeline architecture and contributing to our infrastructure transition. You'll work alongside other analysts who have context on our systems, learning the architecture while bringing fresh perspectives and technical depth.

As you gain mastery and systems stabilize, you'll increasingly own pipeline architecture decisions and lead strategic data improvement initiatives.

Build Deep Pipeline & Systems Expertise

• Master our company data pipeline architecture,how data flows from ingestion through profiling, what transforms are applied at each stage, and how components interconnect

• Read and analyze production code to understand data transformations, trace data lineage, and assess how proposed changes would impact the system

• Develop frameworks for evaluating tradeoffs between technical complexity, implementation effort, and customer impact

• Create clear documentation, system maps, and knowledge resources that capture architecture decisions, dependencies, and design rationale

Contribute to Pipeline Evolution & Infrastructure Improvements

• Participate actively in design conversations with Engineering and Product about our next-generation pipeline, bringing data quality insights, technical feasibility assessments, and informed opinions on architectural decisions

• Help validate pipeline improvements through rigorous testing, impact analysis, and hands-on verification of data quality

• Translate data quality investigations and emerging requirements into system-level improvement opportunities

• Collaborate with team members to determine when problems should be solved at the pipeline/profiler level versus through downstream approaches

Solve Complex, Ambiguous Data Challenges

• Lead or contribute to data improvement initiatives that require both systems thinking and creative problem-solving,such as improving location verification across international markets, integrating new data sources, or solving novel data extraction challenges

• Tackle problems where the solution isn't obvious through a blend of code analysis, manual investigation, cross-functional coordination, and iterative problem-solving

• Build and apply repeatable approaches to testing, validation, and root cause analysis

Build Partnerships & Institutional Knowledge

• Develop strong working relationships with Data Acquisition, Product, Engineering, and fellow data analysts

• Conduct impact analyses and validation studies to ensure proposed changes deliver intended outcomes

• Document your learning, approaches, and insights so knowledge is shared and institutional memory builds across the team

• Serve as a technical resource as you develop expertise, helping bridge immediate data quality needs with long-term pipeline capabilities

What You'll Bring

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field

• 5+ years of experience in data analytics, data engineering, or related technical roles

• Experience working with data pipelines, ETL systems, or data processing infrastructure,you understand how data moves through systems and what can go wrong

• Ability to read and understand code (Python, Java, SQL, or similar) to analyze data transformations, understand system logic, and assess technical feasibility

• Strong programming skills in Python and SQL for data analysis and manipulation

• Experience solving ambiguous, multi-faceted data problems that required figuring out the approach, not just executing a well-defined analysis

• Demonstrated ability to work effectively with Engineering and/or Product teams, translating between technical implementation and business/customer needs

• Strong analytical skills with ability to investigate complex issues systematically

• Excellent communication skills,able to explain technical concepts clearly to diverse audiences

• Self-directed with strong ownership mentality,you drive your work forward and know when to seek input

Strongly Preferred

• Experience with company data, business data, web data acquisition, or data quality initiatives

• Experience with data profiling, entity resolution, record linkage, or data matching systems

• Background contribution

XML job scraping automation by YubHub

In this dynamic role, you will design state-of-the-art algorithms and systems that enable safe, efficient, and intelligent autonomous capabilities.

Today, employing mass quantities of autonomous robots requires heavy human oversight and execution. Anduril is leveraging AI approaches to improve effectiveness of autonomous missions, offload operator burden, and speed up execution via realtime monitoring, recommendations to users, and multi-modal interaction patterns.

You will apply proven and un-proven approaches to create prototypes for expanding the capability of autonomous systems.

Responsibilities

• Develop Advanced Agentic Software
• Design and implement novel agent-based software systems to improve sensor perception, prediction, and decision-making for autonomous vehicles
• Apply Agentic Reasoning
• Design and implement integrated agents and AI models to solve for end-user autonomous systems workflows.
• End-to-End System Integration
• Collaborate with cross-functional teams to integrate research prototypes into robust, production-ready systems including simulation environments and real-world platforms.
• Research & Experimentation
• Conduct research into reinforcement learning strategies and deep architectures, iterate on experimental designs, and evaluate performance using rigorous quantitative metrics.
• Data-Driven Innovation
• Utilize real-world and synthetic data to enhance model robustness and generalization, leveraging scalable training pipelines on distributed systems.

Required Qualifications

• Sophisticated knowledge of LLM's with an understanding of how they work and how they're applied
• Solid experience with reinforcement learning methods and their application to autonomous systems.
• Proven experience of shipping products end to end
• Experience with simulation or real-world validation for autonomous vehicles is highly desirable.
• A degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Eligible to obtain and maintain an active U.S. Top Secret security clearance

Preferred Qualifications

• PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Novel application track record and experience including first author publications, participation in peer reviewed conferences, contribution to open source projects, and demonstrated contribution to the ML and AI community.
• Proven experience in deep learning research and development, particularly in generative AI. This includes diffusion models and autoregressive generative models.
• Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar).
• Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines.
• Strong programming skills in Python and familiarity with C/C++ is a plus.
• General software engineering experience solving motion planning or related robotics problems.

Salary and Benefits

The salary range for this role is $254,000-$336,000 USD. Highly competitive equity grants are included in the majority of full-time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:

• Healthcare Benefits - US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.
• UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.
• IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.
• Income Protection: Anduril covers life and disability insurance for all employees.
• Generous time off: Highly competitive PTO plans with a holiday hiatus in December.
• Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.
• Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.
• Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching.
• Additional work-life services, such as legal and financial support, are also available.
• Professional Development: Annual reimbursement for professional development.
• Commuter Benefits: Company-funded commuter benefits based on your region.
• Relocation Assistance: Available depending on role eligibility.
• Retirement Savings Plan - US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.
• UK & IE Roles: Pension plan with employer match.
• AUS Roles: Superannuation plan.

Protecting Yourself from Recruitment Scams

Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.

To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:

• No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
• Please always verify communications:

Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.

What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com.

Your proactive approach in protecting yourself from recruitment scams is greatly appreciated.

XML job scraping automation by YubHub

You'll architect and implement infrastructure that powers our GraphQL-based federated query system for seamless data access across platforms including BigTable, BigQuery, and Solr+.

This is a unique opportunity to influence the technical direction of ZoomInfo's core data infrastructure, addressing complex challenges such as data freshness, multi-tenant isolation, and real-time data processing at scale.

Responsibilities:

• Design and build scalable infrastructure for GTM Store and ZDP with sub-second query latency.
• Architect and implement metadata-driven GraphQL APIs for dynamic schema generation and query federation.
• Develop asynchronous secondary indexing systems for scaling capacity and reducing primary data store load.
• Design real-time analytics streaming data pipelines from BigTable to BigQuery.
• Develop data mutation and deletion frameworks supporting GDPR compliance and schema evolution.
• Implement CDC pipelines and calculated field processing for derived data views.
• Build observability and monitoring solutions for real-time issue diagnosis across distributed data systems.
• Create batch and streaming data processing workflows for complex relationships at scale.
• Collaborate with engineering leaders and product managers to define the technical roadmap.
• Mentor engineers and establish best practices for cloud-native data infrastructure development.
• Partner with cross-functional teams to address data platform requirements and challenges.
• Drive solutions for data freshness, query performance, and system reliability challenges.

Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience).
• 10+ years of software engineering experience building large-scale data platforms.
• Expertise with distributed NoSQL databases and data warehousing systems.
• Strong experience with Java 8+, Scala, Kotlin, GoLang for data systems development.
• Proven experience with GCP or AWS and cloud-native architectures.
• Experience with streaming/real-time data processing technologies.
• Strong system design skills for architecting multi-tenant, distributed systems.
• Hands-on experience with Google Cloud Platform services.
• Knowledge of CDC patterns, event sourcing, and streaming architectures.
• Experience solving data freshness and consistency challenges in distributed systems.
• Background in building observability and monitoring solutions for data platforms.
• Familiarity with metadata management and schema evolution.
• Experience with Kubernetes for deploying data services.
• SQL query optimization and performance tuning expertise.
• Experience building GraphQL APIs with federated or metadata-driven schema generation.
• Strong problem-solving skills and the ability to debug complex distributed systems issues.
• Excellent communication skills for explaining technical decisions to diverse audiences.
• Self-directed with the ability to drive initiatives independently while collaborating with teams.
• Passion for building reliable, observable, and maintainable systems.
• Experience promoting diverse, inclusive work environments.

Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process.

We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here.

Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.

$163,800-$257,400 USD

XML job scraping automation by YubHub

You'll be part of a team that empowers you to do the best work of your life. As a Senior Analytics Engineer at ZoomInfo, you'll be responsible for building deep expertise in our company data pipeline architecture.

Key Responsibilities:

• Master our company data pipeline architecture,how data flows from ingestion through profiling, what transforms are applied at each stage, and how components interconnect
• Read and analyze production code to understand data transformations, trace data lineage, and assess how proposed changes would impact the system
• Develop frameworks for evaluating tradeoffs between technical complexity, implementation effort, and customer impact
• Create clear documentation, system maps, and knowledge resources that capture architecture decisions, dependencies, and design rationale

What You'll Do:

In your first 6-12 months, your primary focus will be building deep expertise in our pipeline architecture and contributing to our infrastructure transition. You'll work alongside other analysts who have context on our systems, learning the architecture while bringing fresh perspectives and technical depth.

As you gain mastery and systems stabilize, you'll increasingly own pipeline architecture decisions and lead strategic data improvement initiatives.

Requirements:

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field
• 5+ years of experience in data analytics, data engineering, or related technical roles
• Experience working with data pipelines, ETL systems, or data processing infrastructure,you understand how data moves through systems and what can go wrong
• Ability to read and understand code (Python, Java, SQL, or similar) to analyze data transformations, understand system logic, and assess technical feasibility
• Strong programming skills in Python and SQL for data analysis and manipulation
• Experience solving ambiguous, multi-faceted data problems that required figuring out the approach, not just executing a well-defined analysis
• Demonstrated ability to work effectively with Engineering and/or Product teams, translating between technical implementation and business/customer needs
• Strong analytical skills with ability to investigate complex issues systematically
• Excellent communication skills,able to explain technical concepts clearly to diverse audiences
• Self-directed with strong ownership mentality,you drive your work forward and know when to seek input

Preferred Qualifications:

• Experience with company data, business data, web data acquisition, or data quality initiatives
• Experience with data profiling, entity resolution, record linkage, or data matching systems
• Background contributing to

XML job scraping automation by YubHub

You will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems.

Responsibilities

• Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development
• Independently lead small research projects while collaborating with team members on larger initiatives
• Design, run, and analyze scientific experiments to advance our understanding of large language models
• Optimise and scale our training infrastructure to improve efficiency and reliability
• Develop and improve dev tooling to enhance team productivity
• Contribute to the entire stack, from low-level optimisations to high-level model design

Qualifications & Experience

• Degree (BA required, MS or PhD preferred) in Computer Science, Machine Learning, or a related field
• Strong software engineering skills with a proven track record of building complex systems
• Expertise in Python and deep learning frameworks
• Have worked on high-performance, large-scale ML systems, particularly in the context of language modelling
• Familiarity with ML Accelerators, Kubernetes, and large-scale data processing
• Strong problem-solving skills and a results-oriented mindset
• Excellent communication skills and ability to work in a collaborative environment

You'll thrive in this role if you

• Have significant software engineering experience
• Are able to balance research goals with practical engineering constraints
• Are happy to take on tasks outside your job description to support the team
• Enjoy pair programming and collaborative work
• Are eager to learn more about machine learning research
• Are enthusiastic to work at an organisation that functions as a single, cohesive team pursuing large-scale AI research projects
• Have ambitious goals for AI safety and general progress in the next few years, and you’re excited to create the best outcomes over the long-term

Sample Projects

• Optimising the throughput of novel attention mechanisms
• Proposing Transformer variants, and experimentally comparing their performance
• Preparing large-scale datasets for model consumption
• Scaling distributed training jobs to thousands of accelerators
• Designing fault tolerance strategies for training infrastructure
• Creating interactive visualisations of model internals, such as attention patterns

Benefits

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

XML job scraping automation by YubHub

A typical day involves working cross-functionally with product, design, and other engineering counterparts to execute on product and business strategy to build novel products and features. You will drive, lead, and contribute to the full development cycle: technical design, development, test, experimentation, analysis, and launch. You'll be reviewing code and design docs, giving feedback on product specs and mocks.

Your expertise includes 6+ years of industry experience, proficiency in at least one major programming language, experience in building large and scalable systems, ability to evaluate technical approaches and design product solutions to solve real-world problems, mentorship to junior developers, and fluent communication in both English and Chinese.

XML job scraping automation by YubHub

The ideal candidate will have a strong background in computer science, robotics, machine learning, or a related field, and experience integrating agents into classical systems. They will also have a proven track record of novel application and experience including first-author publications, participation in peer-reviewed conferences, contribution to open-source projects, and demonstrated contribution to the ML and AI community.

In addition to your technical expertise, you will be a strong communicator and collaborator, able to work effectively with cross-functional teams to drive results. You will also be comfortable working in a fast-paced environment and adapting to changing priorities.

If you are a motivated and experienced engineer looking to join a dynamic team and contribute to cutting-edge technology, we encourage you to apply.

XML job scraping automation by YubHub

The Imagine Product team is redefining AI-driven media experiences for Grok users worldwide. You'll build and scale robust, high-performance systems that power immersive, multi-modal media interactions,leveraging cutting-edge AI to enable seamless generation, processing, and delivery of images, video, audio, and beyond.

Your work will drive engaging, real-time user experiences that captivate and delight millions, turning advanced multimodal models into production-grade features. If you're a driven problem-solver passionate about AI, media technologies, and creating scalable solutions that shape the future of consumer AI, this is your opportunity to make a lasting impact.

Responsibilities

• Design and implement scalable systems to support Grok's AI-driven media experiences, ensuring high performance, reliability, and low-latency at global scale.
• Architect robust infrastructure for real-time multi-modal interactions, including handling generation requests, media processing, and seamless integration with frontend and model serving layers.
• Build and optimise large-scale data pipelines to ingest, process, and analyse multi-modal data (images, video, audio), fueling continuous improvement and personalisation of Grok's media capabilities.
• Collaborate closely with frontend engineers, AI researchers, and product teams to deliver captivating, media-rich features and end-to-end user experiences.
• Own full-cycle development of solutions: from system design and prototyping to deployment, monitoring, observability, and iterative refinement.
• Deliver production-ready, maintainable code that powers features reaching hundreds of millions of users.

Basic Qualifications

• Proficiency in Python or Rust, with a strong track record of writing clean, efficient, maintainable, and scalable code.
• Experience designing and building systems for consumer-facing products, with emphasis on performance, reliability, and handling high-throughput workloads.
• Hands-on expertise in large-scale data infrastructure and pipelines, particularly for multi-modal or media-heavy AI applications.
• Proven ability to deliver robust, production-grade solutions to millions of users while maintaining high standards of quality and uptime.
• Strong problem-solving skills and a passion for turning innovative ideas into high-impact, scalable realities.
• Deep enthusiasm for AI and media technologies, with a commitment to building user-focused products that inspire and engage.

Preferred Skills and Experience

• Experience with real-time systems, inference serving, or multi-modal data processing at scale.
• Familiarity with distributed systems, containerisation (e.g., Kubernetes), observability tools, or performance tuning for AI workloads.
• Background in AI-driven consumer products or media generation technologies.
• Track record collaborating across engineering, research, and product teams to ship delightful features quickly.

Compensation and Benefits

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

XML job scraping automation by YubHub

As a Senior Data Engineer, you'll lead the design, implementation, and testing of data systems, from architecture to production. You'll build batch and real-time data systems that support business needs and critical products, ensuring data systems' quality, performance, and stability through rigorous monitoring and quality assurance practices.

You'll collaborate with cross-functional teams, including product managers, data scientists, and engineers, to develop scalable systems and drive data-driven decisions. You'll maintain strong partnerships with backend, data science, and machine learning teams to ensure seamless integration of data systems.

Key responsibilities include:

• Leading the design, implementation, and testing of data systems, from architecture to production
• Building batch and real-time data systems that support business needs and critical products
• Ensuring data systems' quality, performance, and stability through rigorous monitoring and quality assurance practices
• Collaborating with cross-functional teams to develop scalable systems and drive data-driven decisions
• Maintaining strong partnerships with backend, data science, and machine learning teams to ensure seamless integration of data systems

We're looking for someone with 9+ years of relevant experience, a Bachelor's/Master's degree in CS/EE, and extensive experience in designing, building, and operating distributed data platforms. You should be proficient in Java, Scala, or Python, with strong skills in data processing and SQL querying. Proven track record of designing and optimizing batch and real-time data pipelines is a must.

In addition to technical expertise, we're looking for someone with excellent written and verbal communication skills, with the ability to influence stakeholders and convey complex technical concepts. You should be a strong leader and mentor, with experience guiding teams on best practices and technical strategies.

XML job scraping automation by YubHub

XML job scraping automation by YubHub

Our ideal candidate has strong systems skills in configuring and troubleshooting complex distributed data processing systems for maximum performance. They should be able to build bespoke data processing systems from scratch, prepare pre-training and post-training data for state-of-the-art large language models and generative models, and organise and meticulously bookkeep data across multiple clouds, modalities, and sources.

In this role, you will work closely with our team to contribute directly to our mission and deliver excellence. You will be expected to have strong communication skills, be able to concisely and accurately share knowledge with your teammates, and demonstrate initiative and leadership.

The base salary for this position is $180,000 - $440,000 USD, and we offer a comprehensive total rewards package including equity, medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

XML job scraping automation by YubHub

This is a hands-on role for someone who is passionate about large-scale 3D data, system performance, and delivering reliable data pipelines to power our product features.

You'll work closely with product engineers, 3D artists, and research scientists to design efficient, robust, and scalable data pipeline capabilities,while keeping data integrity and performance high in a fast-moving startup environment.

Responsibilities:

• Design, build, and operate automated pipelines for 3D data ingestion, cleaning, processing, validation, and delivery that sit on the critical path for model training.
• Own foundational capabilities for synthetic data generation, including developing tools, workflows, and quality metrics to produce high-fidelity training data at scale.
• Develop and optimize high-performance rendering systems and services for real-time visualization and asset generation.
• Architect and operate distributed data systems for handling massive volumes of 3D models, textures, and associated metadata, ensuring data consistency and robust failure recovery.
• Own data quality and production readiness end-to-end: defining data schemas, implementing quality checks, capacity planning, observability, and continuous improvement for the 3D pipeline.
• Improve developer and researcher velocity by building shared abstractions, tooling, and guardrails that reduce the operational and cognitive load of working with 3D assets.
• Collaborate with cross-functional teams to integrate the 3D data pipeline with other core product platforms and services.
• Set technical direction, mentor engineers, and raise the data engineering bar across the product org with a focus on 3D data.

Key Qualifications:

• 6+ years of experience building and operating large-scale data pipelines, especially with a focus on 3D, graphics, or simulation data, with deep experience designing scalable, distributed services in production.
• Strong programming skills in Python and/or C++, and a solid foundation in data engineering principles and distributed systems architecture.
• Hands-on experience with 3D data processing libraries, game engines (e.g., Unity, Unreal), or rendering APIs (e.g., OpenGL, Vulkan).
• Experience with cloud-based data storage and processing solutions (e.g., Kubernetes, distributed file systems, data warehouses).
• Experience working in fast-moving or startup environments, ideally having led systems or products from early design through production and growth.
• A high bar for ownership and execution: you’re comfortable with ambiguity, take responsibility for outcomes, and drive work forward without waiting for perfect clarity.
• A product-first mindset: you care about data quality, pipeline reliability, and performance as core product features, not afterthoughts.
• Enjoy collaborating with a small, high-ownership team and raising the quality bar through code, data design, and example.

Who You Are:

• Fearless Innovator: We need people who thrive on challenges and aren't afraid to tackle the impossible.
• Resilient Builder: Impacting Large World Models isn't a sprint; it's a marathon with hurdles. We're looking for builders who can weather the storms of groundbreaking research and come out stronger.
• Mission-Driven Mindset: Everything we do is in service of creating the best spatially intelligent AI systems, and using them to empower people.
• Collaborative Spirit: We're building something bigger than any one person. We need team players who can harness the power of collective intelligence.

We're hiring the brightest minds from around the globe to bring diverse perspectives to our cutting-edge work. If you're ready to work on technology that will reshape how machines perceive and interact with the world, World Labs is your launchpad.

Join us, and let's make history together.

XML job scraping automation by YubHub

In this role, you will guide multidisciplinary engineering teams in designing, implementing, and integrating high-performance real-time and faster than real-time simulation frameworks across distributed, containerized, and hardware-in-the-loop environments. Your work will directly support key customer programs, internal R&D, and mission-critical autonomy development,ensuring our simulation ecosystem is robust, scalable, and operationally representative.

Responsibilities:

• Simulation Architecture Leadership – Lead the design and evolution of distributed, real-time simulation systems that support autonomy development, verification, and validation across virtual, constructive, and live environments.

• High-Performance Software Development – Architect and implement C++, software for modelling, simulation, and integration workflows, while maintaining compatibility with legacy standards for seamless system interoperability.

• Real-Time & Distributed Simulation – Develop, optimize, and deploy software for real-time mission execution environments, including multi-agent scenarios and high-fidelity system-of-systems simulations.

• Simulation Framework Integration – Apply practical experience with defence simulation frameworks such as AFSIM or NGTS to accelerate capability delivery and ensure alignment with defence customer expectations.

• Containerized Deployment – Leverage Docker, Kubernetes or similar technologies to ensure repeatable, scalable, and modular simulation deployments across development, CI, and operational environments.

• Technical & Project Leadership – Lead engineering teams of 5+ contributors, ensuring alignment across software, test, autonomy, perception, and program stakeholders. Drive quality, delivery, and technical excellence.

• Collaboration & Delivery – Work closely with cross-functional teams to integrate simulation with autonomy algorithms, hardware interfaces, and test pipelines, enabling rapid experimentation, regression testing, and mission readiness.

• Innovation & Continuous Improvement – Champion best practices in CI/CD, test-driven development, design patterns, and system architecture. Explore and adopt modern technologies to expand modelling and simulation capabilities.

XML job scraping automation by YubHub

This individual will be responsible for evaluating, benchmarking, and integrating cutting-edge navigation and sensor technologies across Saronic's fleet of autonomous vessels.

Key responsibilities include leading R&D initiatives, designing and executing benchmarking tests, performing trade studies, and developing system architectures.

The ideal candidate brings deep experience in electrical systems design, system-level trade studies, and technology evaluation, and thrives at the intersection of hardware innovation and applied research.

Responsibilities:

• Lead R&D initiatives focused on next-generation navigation and positioning solutions for autonomous vessels.

• Design and execute benchmarking tests of commercial and prototype systems (GNSS, INS/IMU, radar, LiDAR, Doppler velocity logs, etc.), including lab, dockside, and sea-trial environments.

• Perform trade studies and comparative analyses of current and emerging market offerings to inform system selection, integration paths, and performance improvements.

• Develop system architectures and interface specifications for integrating navigation sensors with vessel control, autonomy, and data processing subsystems.

• Prototype, test, and validate new electrical configurations supporting advanced sensing and positioning.

• Author technical reports and white papers summarizing benchmarking results, performance metrics, and recommendations.

• Collaborate with autonomy, software, and mechanical teams to ensure seamless sensor fusion and data pipeline integrity.

• Mentor junior engineers and contribute to internal R&D roadmaps for navigation system evolution.

• Contribute to IP generation, system qualification, and design standardization for future vessel platforms.

Required Qualifications:

• B.S. or M.S. in Electrical Engineering, Computer Engineering, or related discipline.

• 7+ years of professional experience in electrical systems engineering, preferably within marine, aerospace, automotive or defense domains.

• Demonstrated expertise with navigation and positioning systems: GNSS, INS/IMU, radar, LiDAR, or sensor fusion.

• Proven experience in system-level benchmarking, R&D experimentation, and trade study development.

• Strong understanding of signal integrity, timing synchronization, and sensor data acquisition.

• Proficiency with schematic and wiring design tools (e.g., Altium, AutoCAD Electrical, or SolidWorks Electrical).

• Experience with communication interfaces such as CAN, Ethernet, and serial protocols.

• Excellent technical writing and presentation skills , capable of producing concise, data-driven R&D documentation.

• Ability to operate effectively in both lab and field environments, including vessel trials.

Preferred Qualifications:

• Experience in autonomous or unmanned system development, particularly maritime platforms.

• Familiarity with sensor fusion algorithms and real-time data processing pipelines.

• Working knowledge of relevant industry standards (ABS, USCG, MIL-STD, IEC).

• Background in environmental testing, EMI/EMC compliance, and system reliability analysis.

• Experience supporting hardware-in-the-loop (HITL) or model-based system simulations.

Benefits:

• Medical Insurance: Comprehensive health insurance plans covering a range of services

• Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care

• Saronic pays 100% of the premium for employees and 80% for dependents

• Time Off: Generous PTO and Holidays

• Parental Leave: Paid maternity and paternity leave to support new parents

• Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses

• Retirement Plan: 401(k) plan

• Stock Options: Equity options to give employees a stake in the company’s success

• Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage

• Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office

Physical Demands:

• Prolonged periods of sitting at a desk and working on a computer.

• Occasional standing and walking within the office.

• Manual dexterity to operate a computer keyboard, mouse, and other office equipment.

• Visual acuity to read screens, documents, and reports.

• Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies.

• Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages).

Additional Information:

This role requires access to export-controlled information or items that require “U.S. Person” status. As defined by U.S. law, individuals who are any one of the following are considered to be a “U.S. Person”: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3).

XML job scraping automation by YubHub

In addition, you will collaborate across Engineering and R&D teams to enhance core Admin Platform services such as authentication, users, settings, and configurations. You will leverage customer insights and data analysis to design and build high-performance, low-latency systems and APIs that scale efficiently while improving our operational costs.

We value ownership highly , the ability to take an idea through all the stages from conception to shipping a product. This reflects throughout our company, but is especially true in engineering. As an engineer at People.ai, you'll be a part of a highly independent and autonomous team.

Responsibilities:

• Take ownership of projects. From requirements gathering, through design, implementation and testing, to monitoring and maintenance throughout the tech stack.
• Collaborate within the team, with other engineering teams and cross-functionally to enhance our users’ experience.
• Follow software design and development best practices and promote such practices in the team.
• Document design choices and operational knowledge to successfully deploy and run services.
• Ensure code accuracy and efficiency with appropriate test coverage, integration testing and load testing.
• Ensure robust alerting, dashboards, and runbooks for production services are in place.

Requirements:

• 7+ years of professional experience working on backend systems in an enterprise environment
• 2+ years experience programming in Python 2.x/3.x or Scala or Java
• Experience with SOA, microservices, and event-driven architecture
• Experience with an enterprise-grade stack for scalable web apps, including messaging brokers, in-memory storage, and key-value databases
• Strong knowledge of TDD, Unit, and automated test paradigms
• Experience with SQL and RDBMS solutions
• Experience with containerized applications, Docker, and Kubernetes
• Possess a DevOps mindset, AWS experience is a plus
• Experience with LLMs is a plus
• Experience with large-scale data processing (Spark) is a plus
• Bachelor’s Degree in Computer Science, Computer Engineering, or in a closely related discipline

XML job scraping automation by YubHub

In addition, you will collaborate across Engineering and R&D teams to enhance core Admin Platform services such as authentication, users, settings, and configurations. You will leverage customer insights and data analysis to design and build high-performance, low-latency systems and APIs that scale efficiently while improving our operational costs.

We value ownership highly , the ability to take an idea through all the stages from conception to shipping a product. This reflects throughout our company, but is especially true in engineering. As an engineer at People.ai, you'll be a part of a highly independent and autonomous team.

Responsibilities:

• Take ownership of projects. From requirements gathering, through design, implementation and testing, to monitoring and maintenance throughout the tech stack.
• Collaborate within the team, with other engineering teams and cross-functionally to enhance our users’ experience.
• Follow software design and development best practices and promote such practices in the team.
• Document design choices and operational knowledge to successfully deploy and run services.
• Ensure code accuracy and efficiency with appropriate test coverage, integration testing and load testing.
• Ensure robust alerting, dashboards, and runbooks for production services are in place.

Requirements:

• 7+ years of professional experience working on backend systems in an enterprise environment
• 2+ years experience programming in Python 2.x/3.x or Scala or Java
• Experience with SOA, microservices, and event-driven architecture
• Experience with an enterprise-grade stack for scalable web apps, including messaging brokers, in-memory storage, and key-value databases
• Strong knowledge of TDD, Unit, and automated test paradigms
• Experience with SQL and RDBMS solutions
• Experience with containerized applications, Docker, and Kubernetes
• Possess a DevOps mindset, AWS experience is a plus
• Experience with LLMs is a plus
• Experience with large-scale data processing (Spark) is a plus
• Bachelor’s Degree in Computer Science, Computer Engineering, or in a closely related discipline

XML job scraping automation by YubHub

Responsibilities:

• Design and implement core backend services and data pipelines.
• Perform data-driven research using big data and leveraging Data Science toolset
• Document design choices and operational knowledge to successfully deploy and run services.
• Provide appropriate test coverage, unit and integration testing, with focus on performance and cost efficiency for your feature ownership areas.
• Ensure robust alerting, dashboards, and runbooks for production services are in place.
• Collaborate within the team and with other engineering teams to build new features and products according to business needs.
• Follow software design and development best practices and promote such practices in the team.

Requirements:

• 5+ years of professional experience working on backend systems in an enterprise environment
• 3+ years experience with data analysis / data science tasks and/or ML
• 2+ years experience programming in Python 2.x/3.x or Scala or Java
• Experience with AI development tools (especially agentic AI) is a plus
• Experience developing systems based on LLM is a plus
• Understanding of SOA, microservices, and event-driven architecture
• Experience with an enterprise-grade stack for scalable web apps including messaging broker, in-memory storages, NoSQL, and key-value databases
• Strong knowledge of TDD, Unit, and automated test paradigms
• Experience with SQL and RDBMS solutions
• Experience with large-scale data processing (Spark)
• Experience with Elasticsearch is a plus
• Experience with containerized applications, Docker, and Kubernetes
• Possess a DevOps mindset, AWS experience is a plus
• Bachelor’s Degree in Computer Science, Computer Engineering, or in a closely related discipline

XML job scraping automation by YubHub

Responsibilities:

• Architect, implement, and maintain decision science libraries that will be used in KoBold's mineral exploration analyses.
• Build tooling to increase the velocity of our decision making, including enabling rapid prototyping in Jupyter notebooks; build experimentation, evaluation, and simulation frameworks; turning successful R&D into robust, scalable pipelines; and organizing ML models and their outputs for repeatability and discoverability.
• Apply–and coach team members to use–engineering best practices such as writing robust, testable and composable code
• Collaborate with data scientists, geoscientists and engineers to invent the modern decision science technology for mineral exploration
• Occasional travel to exploration sites around the world to observe the impact of scientific computing on KoBold's exploration products and design new technologies to further discovery. Travel is approximately twice per year depending on project needs.

Qualifications:

• At least 5 years of experience in the field of decision science with a strong software engineering focus, though most great candidates will have closer to 10.
• Track record of building production quality data processing solutions or tooling that have delivered business value
• Proficiency with foundational concepts of ML, including statistical, traditional and deep-learning approaches
• Proficiency in Python, ideally including array-based packages such as xarray and numpy
• Deep experience with measured scientific data
• Experience in visualizing scientific data for domain experts
• Experience in MLops and in the making of robust ML systems
• Drive to increase the velocity and effectiveness of our data scientists in both experimental and production workflows
• Capacity to dive deep on novel challenging problems in applying decision science to mineral exploration, including understanding a complex domain of geology and mineral exploration practices as well as working with limited, disparate and noisy data sources
• Collaborative attitude to work with stakeholders with different backgrounds (data scientists, geoscientists, software engineers, operations)

Work practices and motivation:

• Ability to take ownership and responsibility of large projects.
• Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Open to working directly with geologists in the field. Enjoys constantly learning such that you are driving insights and innovations.
• Ability to explain technical problems to and collaborate on solutions with domain experts who aren’t software developers. A strong communicator who enjoys working with colleagues across the company.
• Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.
• Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company.
• Ability to independently prioritize multiple tasks effectively.

XML job scraping automation by YubHub

As a Senior Software Engineer, you will partner with engineers, scientists, product managers, and business teams to identify high-leverage opportunities and build common solutions. You will integrate open-source, enterprise, and SaaS technologies into our evolving stack, design and ship components of a new platform architecture to enable multi-tenancy, fine-grained data governance, workload isolation, and scaling.

Key responsibilities include:

• Leading projects end-to-end and contributing to impactful platform initiatives
• Partnering with engineers, scientists, product managers, and business teams to identify high-leverage opportunities and build common solutions
• Integrating open-source, enterprise, and SaaS technologies into our evolving stack
• Designing and shipping components of a new platform architecture to enable multi-tenancy, fine-grained data governance, workload isolation, and scaling
• Contributing to the growth of our Data Lakehouse platforms, enabling well-governed data products for analytical and operational use cases
• Continuously improving the Research Platform to meet our Science's evolving needs for experimentation, ML Ops, data processing, and analysis
• Helping shape how we approach data modeling, context engineering, and emerging semantic layers to make data easier to discover and use
• Advocating for a product mindset within Platform and Data engineering at Freenome, focusing on developer effectiveness and platform usability
• Exploring and piloting AI-assisted or agentic workflows to enhance individual and team productivity, sharing learnings with the broader organization
• Collaborating through system design, code reviews, and pairing, promoting a strong team culture of accountability, learning, and psychological safety
• Supporting platform users to troubleshoot issues and unblock critical work

Requirements include:

• 6+ years of experience building and operating highly reliable production software systems, preferably in platform engineering teams or similar
• Proficiency with Python and experience with one or more other high-level programming languages
• Strong knowledge of Linux fundamentals, including networking and containerization
• Hands-on experience operating cloud services, storage, and compute using IaC with at least one major cloud provider, preferably Azure or GCP
• Operational experience managing and optimizing large Kubernetes clusters, preferably in single or multi-cluster environments with thousands of nodes
• A pragmatic approach to reliability, observability, performance tuning, and operational excellence
• Excellent communication and documentation skills
• Comfort with cross-functional collaboration and navigating tradeoffs
• BS or higher in computer science or a related technical field, or comparable experience

Nice to have includes columnar data processing, open lakehouse technologies, and table formats, supporting researchers, data scientists, AI/ML teams, flyte or other modern workflow orchestrators, everything as code approach to infrastructure, policies, data, operating production systems in Microsoft Azure, open-source contribution and maintenance.

XML job scraping automation by YubHub

You will be the primary in-house legal resource on regulatory and privacy matters, working closely with the SVP, Legal & Compliance and outside counsel to keep Greenlight moving at speed while managing risk thoughtfully.

Your day-to-day:

• Serve as primary in-house advisor on financial services regulation, including Reg E, Reg Z, UDAAP, GLBA, and state-level requirements
• Support bank partner relationships on regulatory compliance matters
• Partner with Product and Business Development on regulatory feasibility of new initiatives, ensuring compliance is built in from the start
• Own ongoing Terms of Service updates and cardholder agreement revisions for product launches
• Manage and direct outside regulatory counsel efficiently, serving as the primary in-house point of contact for outside counsel on regulatory matters
• Serve as in-house privacy counsel, owning day-to-day privacy matters including data subject requests, vendor DPAs, and AI addenda
• Manage ongoing COPPA compliance, including the 2025 COPPA amendments, and state privacy law compliance across applicable jurisdictions
• Oversee privacy tools including Transcend (data deletion automation) and TerraTrue (data mapping), in partnership with the security and engineering teams
• Support periodic privacy program reviews and manage outside privacy counsel engagement
• Provide legal support for hardware product launches, including consumer-facing terms, warranties, refund policies, and fee disclosures
• Partner with Product and Compliance on new product assessment and legal review through the product lifecycle
• Advise on packaging, export control, and regulatory considerations unique to physical consumer products
• Support regulatory review of new product initiatives from concept through launch

Who you are:

• You thrive in a high-growth environment where priorities shift quickly and the regulatory landscape is constantly in flux
• You are a clear communicator who can translate dense legal and regulatory requirements into practical, plain-English guidance for non-legal stakeholders
• You are comfortable working independently, managing outside counsel relationships, and making judgment calls without hand-holding
• You can juggle multiple workstreams simultaneously without losing track of the details
• You bring good judgment on when to escalate and when to run with something

What you’ll bring to the team:

• A J.D. from an accredited U.S. law school and active license to practice law in at least one U.S. jurisdiction.
• 5–8 years of legal experience, with meaningful in-house or law firm experience in fintech, consumer finance, or regulated financial services
• 2+ years of Law firm experience
• Prior experience in a consumer-facing fintech or regulated financial services environment strongly preferred; experience working with bank partners or in a program manager structure a plus.
• Hands-on experience with financial services regulation, including Reg E (including prepaid rules), Reg Z, UDAAP, and GLBA.
• Privacy experience including COPPA, CCPA/state privacy laws, and data processing agreements.
• Hardware, IoT, or consumer product legal experience is a plus but not required.
• Familiarity with legal operations tools (Ironclad or similar) a plus.

Additional Information

Our stance on salaries: Greenlight provides a competitive compensation package with a market-based approach to pay and will vary depending on your location, experience and skill set. The total compensation package for this position will also include a discretionary performance bonus, equity rewards, medical benefits, 401K match, and more. Greenlight conducts continuous compensation evaluations across departments and geographies to ensure we are keeping our pay current and competitive.

The estimated base pay range for this position in (NY, CA, WA): $165,000-220,000

The estimated base pay range for this position in (CO): $165,000-200,000

XML job scraping automation by YubHub

Cyngn is a publicly-traded autonomous technology company that deploys self-driving industrial vehicles to factories, warehouses, and other facilities throughout North America.

We are a welcoming, diverse team of sharp thinkers and kind humans. Collaboration and trust drive our creative environment. At Cyngn, everyone's perspective matters,and that's what powers our innovation.

About this Role

As the Staff Software Engineer for our SaaS platform team, you will be crucial in developing Cyngn's cutting-edge fleet management system for autonomous industrial vehicles. You'll collaborate with product and engineering teams to design, implement, deploy, and maintain a robust cloud-based solution that enables real-time control and monitoring of autonomous vehicles in the field.

Responsibilities

• Architect and lead the development of a sophisticated, cloud-native fleet management system capable of real-time control and monitoring of numerous autonomous vehicles
• Design and implement scalable, distributed systems that can handle high-volume, real-time data processing and decision-making
• Develop robust APIs and microservices to support integration with various autonomous vehicle platforms and customer systems
• Create efficient algorithms for route optimization, task scheduling, and resource allocation across vehicle fleets
• Implement advanced data analytics and machine learning capabilities to provide predictive maintenance, performance optimization, and business intelligence features
• Ensure system reliability, security, and compliance with industry standards and regulations
• Lead a team of skilled engineers, fostering a culture of innovation, code quality, and continuous improvement
• Collaborate with product managers, UX designers, and customers to translate business requirements into technical solutions
• Mentor junior developers and contribute to the technical growth of the engineering team
• Participate in the entire software development lifecycle, from concept and design to testing, deployment, and maintenance
• Engage with customers to understand their needs and translate them into technical requirements

Who You Are

• 10+ years of software development experience, with a strong focus on backend systems and distributed architectures
• Extensive experience in building and scaling cloud-native SaaS platforms, preferably in the IoT or robotics domains
• Expert-level proficiency in at least one of Python, Go, Java, or C++, with working knowledge of others
• Deep understanding of cloud technologies and services (AWS, Azure, or GCP)
• Proven experience with event-driven architectures and message queuing systems (e.g., Kafka, RabbitMQ, Apache Pulsar)
• Strong background in database design and optimization, including both SQL and NoSQL solutions
• Proficiency in developing scalable WebSocket-based real-time communication systems
• Expertise in developing real-time data processing pipelines and analytics systems
• Proficiency with containerization and orchestration technologies (Docker, Kubernetes)
• Experience with infrastructure-as-code and CI/CD practices (e.g., Terraform, GitOps)
• Track record of leading development teams and mentoring junior developers
• Excellent problem-solving skills and ability to optimize complex systems
• Strong communication skills and ability to explain technical concepts to non-technical stakeholders
• Strong collaboration skills with a low ego

Nice to Have

• Experience with IoT platforms, robotics frameworks (e.g., ROS), or autonomous vehicle technologies
• Solid understanding of network protocols and communication standards relevant to IoT and autonomous systems
• Knowledge of AMQP, MQTT, DDS, or other IoT-specific communication protocols
• Experience with time-series databases (e.g., InfluxDB, TimescaleDB) for handling large volumes of sensor data
• Familiarity with edge computing and fog architectures
• Experience with real-time operating systems and embedded software development
• Expertise in building and maintaining scalable API platforms
• Experience with geospatial data processing and mapping technologies
• Knowledge of fleet management software and vehicle telematics systems
• Experience with simulation environments for autonomous systems testing

Benefits & Perks

• Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
• Life, Short-term, and long-term disability insurance (Cyngn funds 100% of premiums)
• Company 401(k)
• Commuter Benefits
• Flexible vacation policy
• Remote or hybrid work opportunities
• Sabbatical leave opportunity after five years with the company
• Paid Parental Leave
• Daily lunches for in-office employees
• Monthly meal and tech allowances for remote employees

XML job scraping automation by YubHub

Cyngn is a publicly-traded autonomous technology company that deploys self-driving industrial vehicles to factories, warehouses, and other facilities throughout North America.

We are looking for a Senior C++ Robotics Engineer to join our team. As a key member of our engineering team, you will play a vital role in developing and integrating autonomous vehicle systems.

Responsibilities

• Design and implement robust robotics software using C++ and ROS/ROS2 framework
• Develop and maintain critical system components including state management, health monitoring, and diagnostic tools
• Create and optimize high-performance software for processing sensor data from LiDAR, cameras, and other perception systems
• Implement and maintain CAN bus communications and firmware update systems
• Configure and optimize container environments for various autonomous vehicle components
• Develop and maintain system provisioning and configuration management tools
• Implement performance profiling and optimization across the autonomous vehicle stack
• Create and maintain automated testing and validation frameworks for system integration
• Troubleshoot complex system issues across hardware, software, and network interfaces
• Collaborate with cross-functional teams to integrate perception, localization, and control systems

Requirements

• 5+ years of experience in robotics software development or system integration
• Strong proficiency in ROS/ROS2 and Ubuntu-based systems
• Extensive experience with real-time system performance optimization and CUDA programming
• Deep understanding of autonomous vehicle architecture and systems integration
• Strong background in electrical systems, CAN protocols, and firmware development
• Expertise in container technologies (Docker, Podman) and their underlying systems
• Experience with configuration management tools like Ansible
• Strong programming skills in C++, Python, and shell scripting
• Thorough understanding of networking principles and protocols
• Experience with high-performance computing and system optimization
• Strong debugging and problem-solving skills across hardware and software domains
• Excellent documentation and communication skills

Nice to Have

• Experience with fleet management systems or logistics software
• Experience with industrial automation or autonomous mobile robots
• Knowledge of Open-RMF middleware framework
• Experience with telematics data processing and analytics
• Familiarity with computer vision and machine learning deployment
• Experience with over-the-air (OTA) update systems
• Knowledge of safety-critical software development practices
• Experience with real-time operating systems
• Familiarity with automotive-grade software development
• Background in system safety and fault tolerance design
• Experience with simulation environments for autonomous systems testing
• Knowledge of DevOps practices and CI/CD pipelines

Benefits & Perks

• Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
• Life, Short-term, and long-term disability insurance (Cyngn funds 100% of premiums)
• Company 401(k)
• Commuter Benefits
• Flexible vacation policy
• Sabbatical leave opportunity after five years with the company
• Paid Parental Leave
• Daily lunches for in-office employees
• Monthly meal and tech allowances for remote employees

XML job scraping automation by YubHub

As a Data Scientist, you'll help the Portfolio team make informed decisions about how to grow and diversify Spotify's paid offerings by analysing subscriber behaviour, measuring the impact of plan changes and new propositions, and surfacing insights that shape our strategy.

Your work will directly influence how the Spotify experience evolves for users around the world.

Responsibilities:

• Analyse subscriber behaviour and engagement patterns to identify opportunities for plan evolution and new value propositions
• Design and analyse experiments to measure the impact of changes to subscription plans and add-on offerings
• Define and maintain success metrics for Portfolio initiatives, ensuring alignment across cross-functional partners
• Build and maintain dashboards and reporting to monitor the health and performance of subscription plans and new revenue streams
• Perform exploratory analyses that uncover growth levers and inform the Portfolio roadmap
• Collaborate with Product, Engineering, Design, User Research and other Data Science teams across the Subscriptions Mission
• Communicate findings and recommendations clearly to both technical and non-technical audiences, including senior leadership

Requirements:

• 3+ years of experience in data science or analytics, ideally at a consumer tech or subscription-based company
• Hold a degree in Statistics, Economics, Computer Science, Mathematics, or a related quantitative field (or equivalent experience)
• Proficient in SQL and Python and comfortable working with large-scale datasets
• Experience designing and analysing A/B tests, with a solid understanding of statistical methods
• Clear communicator who can translate complex analyses into actionable recommendations
• Curious, proactive, and comfortable navigating ambiguity in a fast-moving business
• Enjoy collaborating across teams and are comfortable working in environments that require coordination across multiple stakeholders and workstreams

Benefits:

• Health insurance
• Six month paid parental leave
• 401(k) retirement plan
• Monthly meal allowance
• 23 paid days off
• Paid flexible holidays
• Paid sick leave

Salary Range: $76,840 - $109,771, plus equity

XML job scraping automation by YubHub

This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google & top Google customers.

You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest generation models.

We are looking for a manager with a strong track record of building and shipping software, and leading engineering teams, ideally with some experience in early-stage environments, where you may have contributed to scaling products from initial concept to production.

The ideal candidate will be motivated by the opportunity to drive product & business impact, and develop strong relationships with research teams.

Responsibilities:

• Lead a team in the design and development of scalable software applications leveraging generative AI models.
• Guide the team in rapidly developing new features and iterating based on evaluation results.
• Collaborate with researchers and product managers to translate research advancements into tangible product features.
• Oversee the optimization of software performance and ensure the reliability of deployed applications.
• Champion the development of best practices for building and deploying generative AI applications.
• Lead the architecture and development of new products & features from 0 to 1.
• Mentor and develop team members, fostering a collaborative and high-performing environment.
• Partner with PM team to qualify & size new project opportunities.

Minimum qualifications:

• A bachelor degree in computer science, electrical engineering or equivalent experience.
• 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
• 5 years of experience in minimum of one ML field (eg. media generation, reinforcement learning, infrastructure etc.).
• 7+ years of experience leading technical projects and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning), including at least 5 years of experience in a people leadership role overseeing and guiding technical teams.

Preferred qualifications:

• Experience with generative AI models and applications.
• Contributions to open-source projects.
• Experience with front-end development.
• Proven experience in rapidly developing and shipping software products in a fast-paced, customer-facing startup-like environment, demonstrating adaptability to changing priorities.
• Experience evaluating model performance, analyzing results, and implementing improvements.
• Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.

XML job scraping automation by YubHub

We are looking for an engineering leader who is hands-on with deep learning—comfortable reading/modeling code, not just running it. You will lead, encourage, and develop world-class engineering and data teams distributed across Europe, Asia and the United States.

Key Responsibilities:

• Architect and operationalize NVIDIA’s end-to-end data Inference Acceleration strategy, powering Inferencing and continuous performance improvements.
• Drive Strategic Implementations of TensorRT, VLLM and other accelerated frameworks for inference solutions for Edge and Enterprise devices: Lead Accelerated Computing efforts and solutions for key Metropolis verticals. Set up Proofs of Readiness (PORs) and guide their implementations.
• Leading customer solutions: Collaborate with major Metropolis OEMs and Partners to architect highly accelerated and optimized custom deep learning models and inference pipelines for their specific requirements. Offer direct customer support, including debugging, technical education, and handling customer inquiries for our Metropolis partner and customers. Responsible for drafting and finalizing SOWs with internal customers and partners.
• Performance Benchmarking: Orchestrate efforts to achieve leading performance results on industry benchmarks like MLPerf on various edge and Enterprise devices.
• Technical Leadership & Influence: Function as a technical leader for deep learning across multiple teams, giving oversight and build support. Apply customer insights to influence the composition and structure of upcoming SOC / GPU deep learning hardware.
• Scaling the team: Strategically hiring to meet new demands while also mentoring and adjusting existing teams to new deep learning challenges.
• Representing Nvidia Deep learning solutions in webinars, conferences and partner events

Requirements:

• Masters in Computer Science/Electrical Engineering or equivalent experience.
• A minimum of 8 years of meaningful involvement in machine learning/deep learning research or practical experience, coupled with 7+ years of leadership background and overall 15+ years of industry experience.
• Over 10 years of validated expertise in the embedded software sector, holding technical leadership positions accountable for delivering outstanding production software within a multifaceted setting.
• Deep Knowledge of GPU, CPU and dedicated deep learning architecture fundamentals and low-level performance optimizations using heterogeneous computing.
• Hands-on experience with VLMs, LLMs, or multimodal AI systems applied to perception, data triage, or automated labeling.
• Strong expertise in large-scale data processing, systems build, or machine learning pipelines.
• Strong communication, careful planning, and technical leadership capabilities.

Benefits:

• Competitive salary package and benefits
• Eligible for equity

How to Apply:

Applications for this job will be accepted at least until March 13, 2026.

XML job scraping automation by YubHub

You will join Fifty-Five as a Data Consultant, working closely with our clients to help them make data-driven decisions and improve their marketing performance. As a Data Consultant, you will be responsible for collecting, analysing and activating data to drive business growth and customer acquisition.

About Fifty-Five

Fifty-Five is a global data company that helps brands collect, analyse and activate their data across paid, earned and owned channels to increase their marketing ROI and improve customer acquisition and retention. The company has over 320 experts and is part of The Brandtech Group.

Key Responsibilities

• Participate in the promotion of data science and data processing to service the marketing digital
• Follow a plan of action punctuated by different milestones
• Ensure the quality and accuracy of the data
• Ensure the quality of the deliverables sent to the client
• Follow the operational and technical implementation
• Participate, in collaboration with the team, in the development of the Data Science offer of Fifty-Five, both on the marketing side and on the technical or operational side
• Respond to problems related to the management of digital activity through key performance indicators
• Analyse data for the account of the client

Requirements

• You are a graduate of an engineering school or a double course in commerce/engineering and have a first experience in consulting on data or on a Data Analyst role
• You have knowledge of Microsoft Word, Excel, PowerPoint
• You have a strong appetite for technology, a strong analytical spirit, excellent oral and written communication skills, and a commercial spirit that will help you integrate quickly into the teams
• You have a good understanding of the Digital Marketing sector, WebAnalytics, Media Activation, and Machine Learning
• You are able to execute SQL queries
• You have already had notions of Python
• You are able to understand a complex technical architecture schema
• You have a good level of English

Benefits

• 250 employees in Paris and over 320 worldwide
• A multicultural environment with over 20 different nationalities
• Internal values centered on excellence, benevolence, and sharing
• A week-long onboarding program for all new employees and continuous training (and recognized) on the ecosystem and digital technologies
• Responsible and evolving missions to extract the maximum of skills from this experience
• A €10 daily meal ticket allowance, reimbursed at 50%
• 50% coverage of transportation costs (Navigo, bike, etc.)
• A strong emphasis on work-life balance in respect of the right to disconnect
• Flexible remote work policy
• Modern and stimulating offices, with a strong identity, close to Saint-Lazare (gym, ping-pong, baby-foot, etc.)
• Regular after-work events and internal project opportunities (Data Hive, DEI@55, Sustainability@55)

Recruitment Process

• 30-minute call with our HR team (Fit & Motivation)
• First round of interviews: 3 interviews of 30 minutes with 3 consultants (one-to-one)
• Second round of interviews:

1. Preparation of a case study (at home)
2. Presentation and discussion of the case study with 2 managers (15 minutes of presentation + 30 minutes of discussion)
3. Final interview with the Managing Director of the team (30 minutes)

Fifty-Five is convinced that diversity and inclusion are real strengths. We commit to ensuring equal treatment of all received applications, without distinction of gender, age, origin, sexual orientation, health status, or political or religious opinion.

XML job scraping automation by YubHub

You'll be joining the Applications team, which is an Engineering function within Quantexa's R&D department that is focused on internally building real-world applications of the Quantexa Platform.

This function enables demonstrations of the product and develops SaaS offerings, whilst also testing and refining new Platform features before they are deployed by clients. The function develops and releases its own tools that feed into these internal applications and are also packaged and released to help standardize and accelerate all Quantexa deployments.

It encompasses four distinct sub-teams:

Data Engineering Accelerators

• Developing Quantexa's libraries for cleansing, parsing and standardising data used in entity resolution
• Finding efficiency/performance improvements through big data testing and building performance tooling
• Owning best practices in entity resolution and network building

Data Feeds

• Building standardised and reusable code for processing various third party/open source data sets
• Managing an internal data lake for the provision of this data by other teams for testing and analytics
• Owning general best practices for ingesting and processing data to get it ready for use in the Quantexa Platform, including pipelines and scheduling

Demos

• Developing, deploying and maintaining all Quantexa demos, showcasing the different use cases for the Quantexa Platform
• Owning the Quantexa Trial platform, for prospective Quantexa clients to see the product in action using real data provided by Data Feeds
• Building tools to enable solution owners and sales to create their own custom demos

SaaS

• Building Quantexa's emerging SaaS offering, a cloud hosted, standardized deployment of the Quantexa Platform
• Targeting mid-market banks in the US for Retail AML initially, providing them with a cost-effective Quantexa solution, then expanding in future to more use cases and geographies
• Implementing cutting edge features of the Quantexa Platform ensuring SaaS customers always on the latest and greatest of Quantexa

Requirements

• Data processing/ETL pipelines
• Analysing and examining real and varied data
• Full stack development, but with a heavy focus on the data processing/ETL side
• Solving difficult problems with efficient, resilient, high impact code
• Working in the cloud with production-grade systems
• Defining best-practices and sharing expertise you’ve developed
• Working in a fast moving, Agile environment
• Growing and thriving within one of the UK’s fastest growing scale-ups

Experience in the following would be beneficial:

• A strong coding background, ideally in Scala or otherwise in a relevant language that will allow you to learn Scala quickly (e.g. Java/Python)
• Big data, either from a software deployment/implementation or a data science perspective
• Working with big data technology, ideally Spark but others will also be useful such as Airflow or Elasticsearch
• Working in an Agile environment
• Building data processing pipelines for use in production batch systems, including either traditional ETL pipelines and/or analytics pipelines
• Manipulating data through cleansing, parsing, standardising etc, especially in relation to improving data quality/integrity
• Building and deploying SaaS products

Benefits

• Competitive salary and Company Bonus
• Flexible working hours in a hybrid workplace & free access to global WeWork locations & events
• Pension Scheme with a company contribution of 6% (if you contribute 3%)
• 25 days annual leave (with the option to buy up to 5 days) + birthday off!
• Work from Anywhere Scheme: Spend up to 2 months working outside of your country of employment over a rolling 12-month period
• Family: Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave
• Private Healthcare with AXA
• EAP, Well-being Days, Gym Discounts
• Free Calm App Subscription #1 app for meditation, relaxation and sleep
• Workplace Nursery Scheme
• Team's Social Budget & Company-wide Summer & Winter Parties
• Tech & Cycle-to-Work Schemes
• Volunteer Day off
• Dog-friendly Offices

XML job scraping automation by YubHub

The role will involve working closely with the technical and business teams to deliver marketing-oriented AI cases, integrating business requirements into a relevant activation strategy. The consultant will also be responsible for analysing data for clients, responding to digital activity management issues using key performance indicators, and participating in the development of Fifty-Five's data science offer.

The ideal candidate will have a degree in engineering or a related field, with at least 2 years of experience in data consulting. They will have strong knowledge of Microsoft Office, a strong analytical mindset, excellent communication skills, and a commercial spirit.

The company offers a range of benefits, including a competitive salary, a 10-euro daily meal ticket, 50% transport costs, a flexible work-life balance, and a modern and stimulating work environment.

Fifty-Five is committed to diversity and inclusion, and welcomes applications from all candidates, regardless of their background, age, gender, or disability.

The company is part of The Brandtech Group, a global data company that helps brands collect, analyse and activate their data across paid, earned and owned channels to increase their marketing ROI and improve customer acquisition and retention.

The role is based in Paris, with the opportunity to work on a global scale. The company is looking for a senior data consultant to join its team, with a competitive salary and a range of benefits.

If you are a senior data consultant looking for a new challenge, please apply now.

Responsibilities:

• Promote data science and data processing to support digital marketing
• Follow a project plan with different milestones
• Ensure data quality and accuracy
• Deliver high-quality results to clients
• Work closely with technical and business teams to deliver marketing-oriented AI cases
• Integrate business requirements into a relevant activation strategy
• Analyse data for clients
• Respond to digital activity management issues using key performance indicators
• Participate in the development of Fifty-Five's data science offer

Requirements:

• Degree in engineering or a related field
• At least 2 years of experience in data consulting
• Strong knowledge of Microsoft Office
• Strong analytical mindset
• Excellent communication skills
• Commercial spirit

Preferred skills:

• Strong knowledge of Python
• Experience with data visualisation tools
• Knowledge of machine learning algorithms
• Experience with data warehousing and business intelligence tools

Benefits:

• Competitive salary
• 10-euro daily meal ticket
• 50% transport costs
• Flexible work-life balance
• Modern and stimulating work environment

Company culture:

• Fifty-Five is committed to diversity and inclusion
• Welcomes applications from all candidates, regardless of their background, age, gender, or disability
• Part of The Brandtech Group, a global data company that helps brands collect, analyse and activate their data across paid, earned and owned channels to increase their marketing ROI and improve customer acquisition and retention

Location:

• Paris, France

Type of contract:

• Full-time

Salary:

• Competitive salary

Workplace type:

• On-site

Category:

• Data science

Industry:

• Technology

Salary range:

• Competitive salary

XML job scraping automation by YubHub

Do you ever have the urge to do things better than the last time? We do. And it's this urge that drives us every day. Our environment of discovery and innovation means we're able to create deep and valuable relationships with our clients to create real change for them and their industries. It's what got us here – and it's what will make our future.

As a Backend Software Engineer at Quantexa, you'll play a key role in shaping one of the most critical components of our Decision Intelligence platform: Decision Systems. The Decision Systems team is responsible for turning complex, interconnected data into meaningful insights — helping global organisations detect patterns, uncover risks, and make smarter decisions.

Key Responsibilities

• Building new tooling that allows users to configure detection logic more easily and effectively.
• Enhancing the platform so that existing Scores can be applied across an expanding range of scenarios.
• Improving system performance to ensure even the largest datasets can be analysed efficiently.

Requirements

• Strong commercial experience in Java or another JVM-based language.
• A willingness — and enthusiasm — to learn Scala and adopt functional programming practices.
• Pride in designing, building, and delivering well-engineered, high-quality solutions to complex problems.
• A big-picture approach to problem-solving, ensuring your solutions work effectively within the wider system.
• Experience across the full engineering lifecycle, from design and implementation through to testing and deployment.

Benefits

• Competitive salary and Company Bonus.
• Flexible working hours in a hybrid workplace & free access to global WeWork locations & events.
• Pension Scheme with a company contribution of 6% (if you contribute 3%).
• 25 days annual leave (with the option to buy up to 5 days) + birthday off!

XML job scraping automation by YubHub

The Opportunity

We are looking for an exceptional candidate to join our high-performing team of Solution Engineers in EMEA and be based in France. You will collaborate closely with regional peers across Alliances, Sales, Marketing, and Product to help win strategic sales opportunities.

What We're All About

At Quantexa, you'll experience autonomy and support in equal measures allowing you to form a career that matches your ambitions. 41% of our colleagues come from an ethnic or religious minority background. We speak over 20 languages across our 50+nationalities, creating a sense of belonging for all.

Key Responsibilities

• Communicate the value and impact of the Quantexa Decision Intelligence Platform, helping prospects understand how it enables smarter, faster, and more confident decision-making through connected, trusted data
• Identify and position the right Quantexa solution tailored to each prospect's specific needs
• Guide prospects through a clear, outcome-driven solution strategy that sets the stage for long-term value and success

What You'll Be Doing

• Supporting Solution Engineering activities for sales opportunities under the guidance of senior team members
• Collaborating with Quantexa's commercial teams, product experts, and SMEs to deliver impactful pre-sales engagements
• Learning to identify and articulate customer challenges, showcasing Quantexa's solutions with clarity and confidence
• Assisting with product demos and presentations to prospects, and gaining exposure to opportunity qualification processes
• Supporting the design and execution of tailored Proof of Concepts (POCs) that address key customer business problems
• Communicating the Quantexa platform's value effectively, to diverse audiences
• Representing Quantexa at industry events and contributing to thought leadership as your expertise grows

Requirements

• Experience in a commercially focused, technical role such as Solution Engineering, Presales, Technical Sales, or Value Consulting selling software solutions to the French banking sector (preferably tier 1 banks)
• Excellent interpersonal, written, and verbal communication skills, with a track record of effective customer engagement
• Exceptional communicator, able to captivate audiences of all sizes with an innate ability to simplify complex concepts for diverse audiences
• Proven experience across at least two solution areas [e.g. Financial Crime, Data Management, Customer 360], with deep expertise in at least one of them within the banking sector, focused on either technical or business capabilities
• Strong technology knowledge, particularly in enterprise software environments
• Successfully led a minimum of five extensive proving engagements. Proving engagements include PoCs or early implementation phases, or alternatively, all of the following activities: technical workshops, prototypes, bespoke demonstrations, and business cases
• Confident in presenting and pitching solutions to senior stakeholders at Tier 1 banking organisations
• Proven ability to drive innovation and best practices that elevate Solution Engineering performance, with multiple examples of successful implementation
• Fluent in French and English. Other languages would be a bonus but not essential

Desirable Experience

• Strong expertise in data-driven, analytical solutions such as Entity Resolution, Graph Generation, Advanced Analytics, and MDM
• Domain knowledge in areas such as Risk, Anti-Financial Crime, AML, KYC, CRM, Customer Intelligence
• Technical expertise in data storage, processing and containerisation technology such as Cloud or On-prem Distributed File Systems, Spark, Databricks, Kubernetes, Open Search, Elastic Search

Benefits

We offer:

• Competitive salary
• Commission (uncapped)
• Private healthcare, Life Insurance & Income Protection
• Cycle Scheme and TechScheme
• Free Calm App Subscription #1 app for meditation, relaxation and sleep
• Pension Scheme with a company contribution of 6% (if you contribute 3%)
• 25 days annual leave (with the option to buy up to 5 days) + birthday off!
• Ongoing personal development

XML job scraping automation by YubHub

Do you ever have the urge to do things better than the last time? We do. And it's this urge that drives us every day. Our environment of discovery and innovation means we're able to create deep and valuable relationships with our clients to create real change for them and their industries.

Opportunity

As a Scala Engineer at Quantexa, you'll play a key role in shaping one of the most critical components of our Decision Intelligence platform: Decision Systems. The Decision Systems team is responsible for turning complex, interconnected data into actionable insights — helping global organisations detect patterns, uncover risks, and make smarter decisions.

Role Details

Responsibilities

• Building new tooling to allow users to configure detection logic more easily and effectively
• Enhancing the platform so that existing Scores can be applied across a wider range of scenarios
• Improving the performance of the system so even the largest datasets can be analysed efficiently

Requirements

• Take pride in designing, building and delivering high quality well engineered solutions to complex problems
• Take a big picture approach to solving problems, taking care to ensure that the solution works well within the wider system
• Commercial Scala experience or Functional Programming experience with languages such as Java
• Have experience of the full engineering life cycle, from design and implementation through to testing and deployment
• Passion and drive to grow within one of the UK's fastest growing scale-ups

Benefits

• Competitive salary and Company Bonus
• Flexible working hours in a hybrid workplace & free access to global WeWork locations & events
• Pension Scheme with a company contribution of 6% (if you contribute 3%)
• 25 days annual leave (with the option to buy up to 5 days) + birthday off!
• Work from Anywhere Scheme: Spend up to 2 months working outside of your country of employment over a rolling 12-month period
• Family: Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave
• Private Healthcare with AXA
• EAP, Well-being Days, Gym Discounts
• Free Calm App Subscription
• Workplace Nursery Scheme
• Team's Social Budget & Company-wide Summer & Winter Parties
• Tech & Cycle-to-Work Schemes
• Volunteer Day off
• Dog-friendly Offices

XML job scraping automation by YubHub

In this role, you’ll work at the intersection of data and innovation—collaborating with scientists, engineers, and annotators to curate, analyze, and evaluate diverse multimodal data sources critical to model development. You will lead efforts to:

• Develop novel data collection strategies
• Improve dataset quality and integrity
• Understand data-driven model behaviors
• Align datasets with ethical and societal values

This is a cross-disciplinary, high-impact role ideal for engineers who want to push the boundaries of what AI can learn from data, especially in multimodal contexts.

Microsoft Superintelligence Team

The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control.

Responsibilities

• Create high-quality datasets for training and evaluation; run experiments on new datasets (data ablations) to assess their impact and determine the most effective data.
• Develop and maintain scalable data pipelines for multimodal ingestion, preprocessing, filtering, and annotation.
• Analyze real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement.
• Build lightweight tools and workflows for dataset auditing, visualization, and versioning.
• Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices.

Embody our culture and values.

Qualifications

• Bachelor’s Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.) OR equivalent experience.
• 2+ years of experience in data analysis or data engineering, including work with large-scale datasets that are unstructured or semi-structured.
• Proficiency in statistics and exploratory data analysis methods.
• Familiarity with data processing frameworks such as Spark, Ray, or Apache Beam.
• Ability to communicate technical findings clearly to research and product teams.

XML job scraping automation by YubHub

As a Principal Software Engineer, you will play a key role in driving our data strategy, ensuring the integrity and accessibility of our data and leveraging data insights to support business decisions.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities:

• Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
• Develop and optimize data models to support data analytics.
• Utilize advanced analytics techniques to extract insights from large datasets and drive data-driven decision making.
• Implement data validation frameworks and monitoring systems to detect and resolve data quality issues.
• Troubleshoot and resolve issues in data pipelines to ensure timely and accurate data delivery.
• Work with a security-first mindset, focusing on system scalability and maintainability.
• Coach and mentor peers and emerging team members while advocating for best practices.

Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• 6+ years of experience in software engineering, with a focus on data engineering and data analytics.
• Solid experience with data processing frameworks such as Apache Spark, Hadoop.
• Expertise in SQL and experience with RDBMS, Key Value stores.
• Familiarity with cloud platforms and data services.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Solid communication skills.
• Familiarity with Azure.
• Experience with machine learning and data science tools and frameworks.
• Knowledge of data visualization tools (e.g., Tableau, Power BI).
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).

XML job scraping automation by YubHub

Develop novel data collection strategies

Improve dataset quality and integrity

Understand data-driven model behaviors

Align datasets with ethical and societal values

This is a cross-disciplinary, high-impact role ideal for engineers who want to push the boundaries of what AI can learn from data, especially in multimodal contexts.

XML job scraping automation by YubHub

Our platform integrates Microsoft’s Azure Confidential Compute Clean Room (ACCR) with third-party clean room partners to deliver a unified, compliant, and scalable measurement ecosystem. We are looking for a Senior Software Engineer who is passionate about distributed systems, privacy-enhancing technologies, secure data processing, and building reliable production services with global impact.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities:

Design and build highly scalable backend services and data pipelines that support privacy-preserving measurement and analytics scenarios using C# or Java.

Design secure data collaboration workflows across multiple parties using modern privacy technologies, governance controls, and minimum-aggregation protections.

Drive integrations with external data and measurement partners, designing stable interfaces, schema governance patterns, and robust validation.

Lead initiatives to make delivery of high-quality software routine and efficient through the entire software development lifecycle, from inception and technical design through testing and excellence in production operations.

Collaborate closely with product, data science, privacy, and security teams to translate measurement needs into scalable platform capabilities.

Contribute to engineering team best practices leveraging AI dev tools across the software development lifecycle (SDLC).

Qualifications:

Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

5+ years of experience building and operating large-scale distributed systems, backend services, or data platforms.

Experience with large-scale data processing frameworks (e.g. Spark, SQL-based pipelines) and cloud platforms.

Understanding of secure data processing, encryption, identity, and access control.

Experience building and operating services with strict SLAs.

Experience with Azure.

Background in advertising, marketing technology, attribution, or large-scale analytics.

Experience integrating third-party (vendor/partner) platforms, identity systems, or data collaboration technologies.

Solid problem-solving skills with a focus on reliability, observability, and system design.

XML job scraping automation by YubHub

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the team

We are seeking passionate Research Scientists and Engineers to join our growing Pre-training team in Zurich. We are involved in developing the next generation of large language models. The team primarily focuses on multimodal capabilities: giving LLMs the ability to understand and interact with modalities other than text.

In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems.

Responsibilities

In this role you will interact with many parts of the engineering and research stacks.

• Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development

• Independently lead small research projects while collaborating with team members on larger initiatives

• Design, run, and analyse scientific experiments to advance our understanding of large language models

• Optimise and scale our training infrastructure to improve efficiency and reliability

• Develop and improve dev tooling to enhance team productivity

• Contribute to the entire stack, from low-level optimisations to high-level model design

Qualifications & Experience

We encourage you to apply even if you do not believe you meet every single criterion. Because we focus on so many areas, the team is looking for both experienced engineers and strong researchers, and encourage anyone along the researcher/engineer spectrum to apply.

• Degree (BA required, MS or PhD preferred) in Computer Science, Machine Learning, or a related field

• Strong software engineering skills with a proven track record of building complex systems

• Expertise in Python and deep learning frameworks

• Have worked on high-performance, large-scale ML systems, particularly in the context of language modelling

• Familiarity with ML Accelerators, Kubernetes, and large-scale data processing

• Strong problem-solving skills and a results-oriented mindset

• Excellent communication skills and ability to work in a collaborative environment

You'll thrive in this role if you

• Have significant software engineering experience

• Are able to balance research goals with practical engineering constraints

• Are happy to take on tasks outside your job description to support the team

• Enjoy pair programming and collaborative work

• Are eager to learn more about machine learning research

• Are enthusiastic to work at an organisation that functions as a single, cohesive team pursuing large-scale AI research projects

• Have ambitious goals for AI safety and general progress in the next few years, and you’re excited to create the best outcomes over the long-term

Sample Projects

• Optimising the throughput of novel attention mechanisms

• Proposing Transformer variants, and experimentally comparing their performance

• Preparing large-scale datasets for model consumption

• Scaling distributed training jobs to thousands of accelerators

• Designing fault tolerance strategies for training infrastructure

• Creating interactive visualisations of model internals, such as attention patterns

If you're excited about pushing the boundaries of AI while prioritising safety and ethics, we want to hear from you!

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

How we're different

We believe that the highest-impact work in AI safety and general progress in the next few years will be done by a single, cohesive team pursuing large-scale AI research projects. We're committed to creating a work environment that is inclusive, diverse, and supportive of our team members' well-being and career growth.

Career Growth

We're committed to helping our team members grow and develop their careers. We offer opportunities for professional development, mentorship, and career advancement. We believe that our team members are the key to our success, and we're committed to supporting their growth and development.

Benefits

We offer a competitive salary and benefits package, including health insurance, retirement savings, and paid time off. We also offer a range of perks, including a generous parental leave policy, flexible work arrangements, and access to cutting-edge technology and tools.

How to Apply

If you're excited about joining our team and contributing to the development of safe, steerable, and trustworthy AI systems, please submit your application. We can't wait to hear from you!

XML job scraping automation by YubHub

Our team combines rigorous empirical methods with creative technical approaches. We’re currently grappling with big questions on how AI might impact the future of work, people's wellbeing, education, and more. Additionally, we are continuously studying socio-technical alignment (what values do our systems have?), and evaluating novel AI capabilities as they arise. We develop privacy-preserving tools to measure AI's effects at scale, conduct mixed-methods studies of human-AI interaction, and translate research insights into actionable recommendations for both product and policy.

Strong candidates will have a track record of running & designing experiments relating to machine learning systems, building data processing pipelines, architecting & implementing high-quality internal infrastructure, working in a fast-paced startup environment, navigating the ambiguity inherent to novel empirical research, and demonstrating an eagerness to develop their own research & technical skills. The ideal candidate will enjoy a mixture of running experiments, developing new tools & evaluation suites, working cross-functionally across multiple research and product teams, and striving for beneficial & safe uses for AI.

For this role, we are open to a 6-month residency at Anthropic with the expectation that residents convert to full-time if they do well in their residency. In addition, we are exclusively hiring in SF. We support relocation, but all hires must relocate before starting.

Responsibilities:

• Design and implement scalable technical infrastructure that enables researchers to efficiently run experiments and evaluate AI systems.
• Architect systems that can handle uncertain and changing requirements while maintaining high standards of reliability
• Lead technical design discussions to ensure our infrastructure can support both current needs and future research directions
• Partner closely with researchers, data scientists, policy experts, and other cross-functional partners to advance Anthropic’s safety mission
• Interface with and improve our internal technical infrastructure and tools
• Generate net-new insights about the potential societal impact of systems being developed by Anthropic
• Ship changes that help improve our models and products based on the empirical research the Societal Impacts team is conducting

You may be a good fit if you:

• Have experience working with Research Scientists on ambiguous AI projects
• Have experience building and maintaining production-grade internal tools or research infrastructure
• Take pride in writing clean, well-documented code in Python that others can build upon
• Are comfortable making technical decisions with incomplete information while maintaining high engineering standards
• Are comfortable getting up-to-speed quickly on unfamiliar codebases, and can work well with other engineers with different backgrounds across the organization
• Have a track record of using technical infrastructure to interface effectively with machine learning models
• Have experience deriving insights from imperfect data streams
• Have experience building systems and products on top of LLMs
• Have experience incubating and maturing tooling platforms used by a wide variety of stakeholders

Strong candidates may also have experience with:

• Maintaining large, foundational infrastructure
• Building simple interfaces that allow non-technical collaborators to evaluate AI systems
• Working with and prioritizing requests from a wide variety of stakeholders, including research and product teams
• Distributed systems and can design for scale and reliability
• Scaling and optimizing the performance of tools
• Product management and/or full-stack product engineering, with a track record of zero-to-one work in startup (or startup-like environments) and owning products end-to-end
• Research relating to the societal impacts of technology

Representative Projects:

• Design, implement, and mature scalable infrastructure for running large-scale experiments on how people interact with our AI systems (like Clio, Anthropic Interviewer, the Economic Index, Values in the Wild, and Emotional Impacts).
• Build robust monitoring systems that help us detect and understand potential misuse or unexpected behaviors
• Create internal tools that help researchers, policy experts, and product teams quickly analyze dynamically changing AI system characteristics

The annual compensation range for this role is listed below.

Annual Salary:

$350,000 - $500,000USD

XML job scraping automation by YubHub

Data Infrastructure designs, operates, and scales secure, privacy-respecting systems that power data-driven decisions across Anthropic. Our mission is to provide data processing, storage, and access that are trusted, fast, and easy to use.

We're looking for infrastructure engineers who thrive working at the intersection of data systems, security, and scalability. You'll tackle diverse challenges ranging from building financial reporting pipelines to architecting access control systems to ensuring cloud storage reliability. This role offers the opportunity to work directly with data scientists, analysts, and business stakeholders while diving deep into cloud infrastructure primitives.

Responsibilities:

Within Data Infra, you may be matched to critical business areas including:

• Data Governance & Access Control: Design and implement robust access control systems ensuring only authorized users can access sensitive data. Build infrastructure for permission management, audit logging, and compliance requirements. Work on IAM policies, ACLs, and security controls that scale across thousands of users and systems.

• Financial Data Infrastructure: Build and maintain data pipelines and warehouses powering business-critical reporting. Ensure data integrity, accuracy, and availability for complex financial systems, including third party revenue ingestion pipelines; manage the external relationships as needed to drive upstream dependencies. Own the reliability of systems processing revenue, usage, and business metrics.

• Cloud Storage & Reliability: Architect disaster recovery, backup, and replication systems for petabyte-scale data. Ensure high availability and durability of data stored in cloud object storage (GCS, S3). Build systems that protect against data loss and enable rapid recovery.

• Data Platform & Tooling: Scale data processing infrastructure using technologies like BigQuery, BigTable, Airflow, dbt, and Spark. Optimize query performance, manage costs, and enable self-service analytics across the organization.

You might be a good fit if you:

• Have 10+ years (not including internships or co-ops) of experience in a Software Engineer role, building data infrastructure, storage systems, or related distributed systems

• Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead

• Can set technical direction for a team, not just execute within it

• Have deep experience with at least one of:

• Strong proficiency in programming languages like Python, Go, Java, or similar

• Experience with infrastructure-as-code (Terraform, Pulumi) and cloud platforms (GCP, AWS)

Strong candidates may also have:

• Background in data warehousing, ETL/ELT pipelines, or analytics infrastructure

• Experience with Kubernetes, containerization, and cloud-native architectures

• Track record of improving data reliability, availability, or cost efficiency at scale

• Knowledge of column-oriented databases, OLAP systems, or big data processing frameworks

• Experience working in fintech, financial services, or highly regulated environments

• Security engineering background with focus on data protection and access controls

Technologies We Use:

• Data: BigQuery, BigTable, Airflow, Cloud Composer, dbt, Spark, Segment, Fivetran

• Storage: GCS, S3

• Infrastructure: Terraform, Kubernetes, GCP, AWS

• Languages: Python, Go, SQL

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

XML job scraping automation by YubHub

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Team

As AI training and deployments scale, the volume of data we need to monitor and understand is exploding. Our team uses Claude itself to make sense of this data. We own an integrated set of tools enabling Anthropic to ask open-ended questions, surface unexpected patterns, and maintain meaningful human oversight over massive datasets.

Our tools are widely adopted internally — powering ongoing enforcement, threat intelligence investigations, model audits, and more — and we’re looking for experienced engineers and researchers to both scale up existing applications and go zero-to-one on new ones.

About the Role

As a Research Engineer on our team, you'll design and build systems that let AI analyse large, unstructured datasets — think tens or hundreds of thousands of conversations or documents — and produce structured, trustworthy insights. You'll work across the full stack, from core analysis frameworks through user-facing apps and interfaces.

This is a high-leverage role. The tools you build will be used by dozens of researchers and investigators, and directly shape our ability to measure and mitigate both misuse and misalignment.

Responsibilities:

• Design and implement AI-based monitoring systems for AI training and deployment

• Extend and improve core frameworks for processing large volumes of unstructured text

• Partner with researchers and safety teams across Anthropic to understand their analytical needs and build solutions

• Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings

• Contribute to the strategic direction of the team, including decisions about what to build, what to partner on, and where to invest

You May Be a Good Fit If You:

• Have 5+ years of software engineering experience, with meaningful exposure to ML systems

• Are excited about the problem of scaling human oversight of AI systems

• Are familiar with LLM application development (context engineering, evaluation, orchestration)

• Enjoy building tools that other people use — you care about UX, reliability, and documentation

• Can context-switch between deep infrastructure work and user-facing product thinking

• Thrive in collaborative, cross-functional environments

Strong Candidates May Also Have:

• Research experience in AI safety, alignment, or responsible deployment

• Practical experience with both data science and engineering, including developing and using large-scale data processing frameworks

• Experience with productionizing internal tools or building developer-facing platforms

• Background in building monitoring or observability systems

• Comfort with ambiguity — our team is small and growing, and you'll help define what we become

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work.

XML job scraping automation by YubHub

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Key Responsibilities:

• Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development

• Independently lead small research projects while collaborating with team members on larger initiatives

• Design, run, and analyse scientific experiments to advance our understanding of large language models

• Optimise and scale our training infrastructure to improve efficiency and reliability

• Develop and improve dev tooling to enhance team productivity

• Contribute to the entire stack, from low-level optimisations to high-level model design

Qualifications:

• Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field

• Strong software engineering skills with a proven track record of building complex systems

• Expertise in Python and experience with deep learning frameworks (PyTorch preferred)

• Familiarity with large-scale machine learning, particularly in the context of language models

• Ability to balance research goals with practical engineering constraints

• Strong problem-solving skills and a results-oriented mindset

• Excellent communication skills and ability to work in a collaborative environment

• Care about the societal impacts of your work

Preferred Experience:

• Work on high-performance, large-scale ML systems

• Familiarity with GPUs, Kubernetes, and OS internals

• Experience with language modelling using transformer architectures

• Knowledge of reinforcement learning techniques

• Background in large-scale ETL processes

You'll thrive in this role if you:

• Have significant software engineering experience

• Are results-oriented with a bias towards flexibility and impact

• Willingly take on tasks outside your job description to support the team

• Enjoy pair programming and collaborative work

• Are eager to learn more about machine learning research

• Are enthusiastic to work at an organisation that functions as a single, cohesive team pursuing large-scale AI research projects

• Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research

• View research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximise the impact of your insights

• Have ambitious goals for AI safety and general progress in the next few years, and you’re working to create the best outcomes over the long-term.

Sample Projects:

• Optimising the throughput of novel attention mechanisms

• Comparing compute efficiency of different Transformer variants

• Preparing large-scale datasets for efficient model consumption

• Scaling distributed training jobs to thousands of GPUs

• Designing fault tolerance strategies for our training infrastructure

• Creating interactive visualisations of model internals, such as attention patterns

Benefits:

At Anthropic, we are committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech.

Logistics:

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

• We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

• Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from https://job-boards.greenhouse.io.

XML job scraping automation by YubHub

You will deeply understand the research workflows of our Finetuning teams and automate the high-friction parts – turning days of manual experimentation into hours. You’ll build the tools and infrastructure that enable researchers across the organisation to develop, evaluate, and optimise reward signals for training our models. Your scalable platforms will make it easy to experiment with different reward methodologies, assess their robustness, and iterate rapidly on improvements to help the rest of Anthropic train our reward models.

Responsibilities

• Design and build infrastructure that enables researchers to rapidly iterate on reward signals, including tools for rubric development, human feedback data analysis, and reward robustness evaluation
• Develop systems for automated quality assessment of rewards, including detection of reward hacks and other pathologies
• Create tooling that allows researchers to easily compare different reward methodologies (preference models, rubrics, programmatic rewards) and understand their effects
• Build pipelines and workflows that reduce toil in reward development, from dataset preparation to evaluation to deployment
• Implement monitoring and observability systems to track reward signal quality and surface issues during training runs
• Collaborate with researchers to translate science requirements into platform capabilities
• Optimise existing systems for performance, reliability, and ease of use
• Contribute to the development of best practices and documentation for reward development workflows

You may be a good fit if you

• Have prior research experience
• Are excited to work closely with researchers and translate ambiguous requirements into well-scoped engineering projects
• Have strong Python skills
• Have experience with ML workflows and data pipelines, and building related infrastructure/tooling/platforms
• Are comfortable working across the stack, ranging from data pipelines to experiment tracking to user-facing tooling
• Can balance building robust, maintainable systems with the need to move quickly in a research environment
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Care about the societal impacts of your work and are motivated by Anthropic's mission to develop safe AI

Strong candidates may also have experience with

• Experience with ML research
• Building internal tooling and platforms for ML researchers
• Data quality assessment and pipeline optimisation
• Experiment tracking, evaluation frameworks, or MLOps tooling
• Large-scale data processing (e.g., Spark, Hive, or similar)
• Kubernetes, distributed systems, or cloud infrastructure
• Familiarity with reinforcement learning or fine-tuning workflows

Representative projects

• Building infrastructure that allows researchers to rapidly test new rubric designs against small models before scaling up
• Developing automated systems to detect reward hacks and surface problematic behaviours during training
• Creating tooling for comparing different grading methodologies and understanding their effects on model behaviour
• Building a data quality flywheel that helps researchers identify problematic transcripts and feed improvements back into the system
• Developing dashboards and monitoring systems that give researchers visibility into reward signal quality across training runs
• Streamlining dataset preparation workflows to reduce latency and operational overhead

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with the process.

XML job scraping automation by YubHub

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Team

Our team is organised around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. Our team likes to think across the whole model stack. Currently the team is focused on improving models' abilities to use computers – as a laboratory for long horizon tasks and a key blocker to many scientific workflows.

About the role

As a Research Engineer on our team you will work end to end, identifying and addressing key blockers on the path to scientific AGI. Strong candidates should have familiarity with language model training, evaluation, and inference, be comfortable triaging research ideas and diagnosing problems and enjoy working collaboratively. Familiarity with performance optimisation, distributed systems, vm/sandboxing/container deployment, and large scale data pipelines is highly encouraged.

Join us in our mission to develop advanced AI systems that are both powerful and beneficial for humanity.

Responsibilities:

• Working across the full stack to identify and remove bottlenecks preventing progress toward scientific AGI
• Develop approaches to address long-horizon task completion and complex reasoning challenges essential for scientific discovery
• Scaling research ideas from prototype to production
• Create benchmarks and evaluation frameworks to measure model capabilities in scientific workflows and computer use
• Implement distributed training systems and performance optimisations to support large-scale model development

You may be a good fit if you:

• Have 8+ years of ML research experience
• Are familiar with large scale language model training, evaluation, and inference pipelines
• Enjoy obsessively iterating on immediate blockers towards longterm goals
• Thrive working collaboratively to solve problems
• Have expertise in performance optimisation and distributed computing systems
• Show strong problem-solving skills and ability to identify technical bottlenecks in complex systems
• Can translate research concepts into scalable engineering solutions
• Have a track record of shipping ML systems that tackle challenging multi-step reasoning problems

Strong candidates may also have:

• Expertise with performance optimisation for language model inference and training
• Experience with computer use automation and agentic AI systems
• A history working on reinforcement learning approaches for complex task completion
• Knowledge of containerisation technologies (Docker, Kubernetes) and cloud deployment at scale
• Demonstrated ability to work across multiple domains (language modelling, systems engineering, scientific computing)
• Have experience with VM/sandboxing/container deployment and large-scale data processing
• Experience working with large scale data problem solving and infrastructure
• Published research or practical experience in scientific AI applications or long-horizon reasoning

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification.** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us.** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science.

XML job scraping automation by YubHub

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Key Responsibilities:

• Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development
• Independently lead small research projects while collaborating with team members on larger initiatives
• Design, run, and analyse scientific experiments to advance our understanding of large language models
• Optimise and scale our training infrastructure to improve efficiency and reliability
• Develop and improve dev tooling to enhance team productivity
• Contribute to the entire stack, from low-level optimisations to high-level model design

Qualifications:

• Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field
• Strong software engineering skills with a proven track record of building complex systems
• Expertise in Python and experience with deep learning frameworks (PyTorch preferred)
• Familiarity with large-scale machine learning, particularly in the context of language models
• Ability to balance research goals with practical engineering constraints
• Strong problem-solving skills and a results-oriented mindset
• Excellent communication skills and ability to work in a collaborative environment
• Care about the societal impacts of your work

Preferred Experience:

• Work on high-performance, large-scale ML systems
• Familiarity with GPUs, Kubernetes, and OS internals
• Experience with language modelling using transformer architectures
• Knowledge of reinforcement learning techniques
• Background in large-scale ETL processes

You'll thrive in this role if you:

• Have significant software engineering experience
• Are results-oriented with a bias towards flexibility and impact
• Willingly take on tasks outside your job description to support the team
• Enjoy pair programming and collaborative work
• Are eager to learn more about machine learning research
• Are enthusiastic to work at an organisation that functions as a single, cohesive team pursuing large-scale AI research projects
• Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research
• View research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximise the impact of your insights
• Have ambitious goals for AI safety and general progress in the next few years, and you’re working to create the best outcomes over the long-term.

Sample Projects:

• Optimising the throughput of novel attention mechanisms
• Comparing compute efficiency of different Transformer variants
• Preparing large-scale datasets for efficient model consumption
• Scaling distributed training jobs to thousands of GPUs
• Designing fault tolerance strategies for our training infrastructure
• Creating interactive visualisations of model internals, such as attention patterns

At Anthropic, we are committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech.

If you're excited about pushing the boundaries of AI while prioritising safety and ethics, we want to hear from you!

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$350,000 - $850,000USD

XML job scraping automation by YubHub

Anthropic's Safeguards team is responsible for the systems that allow us to deploy powerful AI models responsibly — and the data infrastructure underneath those systems is foundational to getting that right. The Safeguards Data Infrastructure team owns the offline data stack that underpins our safeguards work: the storage layer for sensitive user data, the tooling built on top of it, and the interfaces that let the rest of the Safeguards organisation access that data safely and ergonomically.

As Engineering Manager of this team, you'll be responsible for ensuring full portability of our safeguards data stack across an expanding set of deployment environments, building privacy-preserving data interfaces that enable ML and training workflows, and driving compliance with data regulations including HIPAA. This is a role at the intersection of infrastructure engineering, data privacy, and enterprise product requirements — and it sits at a critical juncture as Anthropic scales into new cloud environments and geographies

Responsibilities:

• Lead and grow a team of engineers delivering the data infrastructure and tooling that powers Anthropic's safeguards capabilities
• Own the strategy and execution for porting the safeguards offline data stack — including PII storage and tooling — across new cloud and deployment environments as Anthropic expands
• Build and maintain privacy-safe data APIs and interfaces that enable ML and training workflows while respecting data retention and access constraints
• Drive tooling and architecture decisions that maximise data retention within the bounds of our privacy and compliance requirements
• Manage privacy incident response processes and partner with compliance teams on regulatory requirements (e.g. HIPAA, EU privacy regulations)
• Collaborate closely with enterprise customers and product teams on zero data retention offerings, working balancing safety needs with robust enterprise data contracts
• Independently own and drive multiple workstreams, including planning, execution, and cross-team coordination
• Coach, mentor, and support the career development of your direct reports, helping them set and achieve their professional goals
• Partner with recruiting to attract, hire, and retain strong engineering talent

You may be a good fit if you:

• Have 4+ years of front-line engineering management experience
• Have a track record of leading teams that build and operate data infrastructure at scale
• Have hands-on software engineering experience as an individual contributor prior to moving into management
• Have a strong understanding of data privacy principles, PII handling, and compliance frameworks
• Are comfortable driving technical decisions in an ambiguous, fast-moving environment with competing priorities
• Have experience working cross-functionally across infrastructure, product, and compliance or security teams
• Are clear and persuasive communicators, both in writing and in person

Strong candidates may also:

• Have experience with multi-cloud or multi-region data portability, particularly in regulated environments
• Have built privacy-preserving data pipelines or interfaces for ML workloads
• Have experience with enterprise data contracts or zero data retention architectures
• Have explored novel approaches to data processing under strict access constraints, such as in-memory storage and compute for sensitive data
• Have a passion for building diverse and inclusive teams

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for

XML job scraping automation by YubHub

Overview:

The Data Acquisition team within the Foundations organization at OpenAI is responsible for all aspects of data collection to support our model training operations. Our team manages web crawling and GPTBot services and works closely with Data Processing, Architecture, and Scaling teams. We are looking for a skilled Senior Software Engineer to join our Data Acquisition team.

Responsibilities:

• Own and lead engineering projects in the area of data acquisition including web crawling, data ingestion, and search.
• Collaborate with other sub-teams, such as Data Processing, Architecture, and Scaling, to ensure smooth data flow and system operability.
• Work closely with the legal team to handle any compliance or data privacy-related matters.
• Develop and deploy highly scalable distributed systems capable of handling petabytes of data.
• Architect and implement algorithms for data indexing and search capabilities.
• Build and maintain backend services for data storage, including work with key-value databases and synchronization.
• Deploy solutions in a Kubernetes Infrastructure-as-Code environment and perform routine system checks.
• Conduct and analyze experiments on data to provide insights into system performance.

Qualifications:

• BS/MS/PhD in Computer Science or a related field.
• 6+ years of industry experience in software development.
• Experience with large web crawlers a plus
• Strong expertise in large stateful distributed systems and data processing.
• Proficiency in Kubernetes, and Infrastructure-as-Code concepts.
• Willingness and enthusiasm for trying new approaches and technologies.
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Department

Scaling

Compensation

• $230K – $490K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team Full Stack engineers within the Fleet Scheduling team are dedicated to building intuitive and scalable interfaces that empower researchers to efficiently manage AI workloads across some of the largest supercomputers in the world. Our focus is on developing robust, high-performance systems that provide real-time insights, resource tracking, and seamless interaction with complex infrastructure. We aim to optimize resource allocation, minimize operational overhead, and create user-friendly tools that enhance researcher productivity and system transparency.

About the Role You will design, develop, and operate web-based systems that provide a powerful and intuitive interface to OpenAI’s supercomputing clusters. You will collaborate closely with researcher, product and infrastructure teams to deliver scalable solutions that enable seamless monitoring, job scheduling, and resource management. This is an opportunity to work at the cutting edge of AI infrastructure, designing tools that scale to exascale workloads while maintaining usability and performance.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Design and develop full-stack web applications to track, monitor, and manage large-scale AI workloads in real time.

• Collaborate with researchers and infrastructure teams to translate complex operational needs into intuitive UIs and scalable backends.

• Build data visualization tools (e.g., Gantt charts, dashboards) to provide insights into job scheduling and resource allocation.

• Optimize backend services to handle massive data throughput while ensuring low-latency performance and high availability.

• Implement frontend components that provide seamless interactions with scheduling, storage, and compute systems.

• Ensure system security, reliability, and scalability across globally distributed supercomputing infrastructure.

You might thrive in this role if you:

• Significant experience in full-stack development, with expertise in modern frontend frameworks (React, Vue, or Angular) and backend technologies (Python, Go, or Node.js).

• Experienced in building scalable, high-performance web applications for complex distributed systems.

• Strong understanding of RESTful and GraphQL APIs, distributed databases, and cloud infrastructure (especially Azure).

• Execution-focused with a keen eye for usability, performance, and scalability in enterprise-scale systems.

• Comfortable working in fast-paced, highly collaborative environments with tight timelines and evolving priorities.

Bonus points if you:

• Have experience working with Kubernetes, Docker, and cloud-native application deployment.

• Understand AI/ML workload scheduling and orchestration challenges.

• Have experience with real-time data processing, visualization libraries, and observability tooling.

About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

XML job scraping automation by YubHub

Overview:

The Data Acquisition team within the Foundations organization at OpenAI is responsible for all aspects of data collection to support our model training operations. Our team manages web crawling and GPTBot services and works closely with Data Processing, Architecture, and Scaling teams. We are looking for a skilled Software Engineer to join our Data Acquisition team.

Responsibilities:

• Own and lead engineering projects in the area of data acquisition including web crawling, data ingestion, and search.
• Collaborate with other sub-teams, such as Data Processing, Architecture, and Scaling, to ensure smooth data flow and system operability.
• Work closely with the legal team to handle any compliance or data privacy-related matters.
• Develop and deploy highly scalable distributed systems capable of handling petabytes of data.
• Architect and implement algorithms for data indexing and search capabilities.
• Build and maintain backend services for data storage, including work with key-value databases and synchronization.
• Deploy solutions in a Kubernetes Infrastructure-as-Code environment and perform routine system checks.
• Conduct and analyze experiments on data to provide insights into system performance.

Qualifications:

• BS/MS/PhD in Computer Science or a related field.
• 4+ years of industry experience in software development.
• Experience with large web crawlers a plus
• Strong expertise in large stateful distributed systems and data processing.
• Proficiency in Kubernetes, and Infrastructure-as-Code concepts.
• Willingness and enthusiasm for trying new approaches and technologies.
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

Compensation:

• $293K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits:

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

XML job scraping automation by YubHub

Full-Stack SWE, Data Acquisition (Foundations)

Overview:

The Data Acquisition team within the Foundations organization at OpenAI is responsible for all aspects of data collection to support our model training operations. Our team manages web crawling and GPTBot services and works closely with Data Processing, Architecture, and Scaling teams. We are looking for a skilled Full-Stack Engineer to join our Data Acquisition team to build and optimize the interfaces and tools that power our data infrastructure.

Responsibilities:

• Develop and maintain full-stack applications that support data acquisition, including internal tools and dashboards.
• Collaborate closely with cross-functional teams, including Data Processing, Architecture, and Scaling, to ensure seamless data ingestion and workflow management.
• Design and implement APIs to facilitate data interactions between internal services and external data sources.
• Enhance user experience by developing intuitive web-based interfaces for managing and monitoring data pipelines.
• Optimize backend services for performance, scalability, and security in a distributed computing environment.
• Work with legal and compliance teams to ensure our data acquisition processes adhere to privacy regulations and best practices.
• Deploy and maintain infrastructure using Kubernetes and Infrastructure-as-Code (IaC) methodologies.
• Analyze system performance, conduct experiments, and improve data workflows to maximize efficiency.

Qualifications:

• BS/MS/PhD in Computer Science or a related field.
• 4+ years of industry experience in full-stack development.
• Proficiency in frontend frameworks (React, Vue, or similar) and backend technologies such as Python, Node.js, or Go.
• Strong expertise in RESTful APIs, GraphQL, and database design (SQL and NoSQL).
• Experience building data-intensive applications that handle large-scale datasets.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker).
• Prior experience with web crawling and large-scale data processing is a plus.
• Strong problem-solving skills and ability to balance multiple tasks in a fast-moving environment.
• Excellent communication and collaboration skills.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

Compensation

• $293K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

Employment Type

Full time

Experience Level

Mid

Workplace Type

Hybrid

Category

Engineering

Industry

Technology

Salary Range

$293K – $385K • Offers Equity

Required Skills

• Full-stack development
• Frontend frameworks (React, Vue, or similar)
• Backend technologies (Python, Node.js, or Go)
• RESTful APIs
• GraphQL
• Database design (SQL and NoSQL)
• Cloud platforms (AWS, GCP, or Azure)
• Container orchestration (Kubernetes, Docker)

Preferred Skills

• Web crawling
• Large-scale data processing
• Problem-solving skills
• Communication and collaboration skills

XML job scraping automation by YubHub

About the role

The Data team manages the complete lifecycle of data for researchers - from sourcing and large-scale processing to delivering datasets that power our models. Data sits at the heart of our Research efforts and enables all other teams. As part of the Data team, you’ll work with over a million hours of video and audio data.

This role exists at the intersection of applied research, data engineering, and ML infrastructure rather than being a traditional research position.

You’ll build the world’s best human-centric data lake by collaborating closely with our model training teams. By understanding their requirements, you’ll extract new features and annotations that elevate our datasets. You should be passionate about enhancing model performance through high-quality, accurate datasets. Our infrastructure and pipelines are in great shape, and this role provides room to not only enhance them but also influence the team’s longer-term strategy.

What we're looking for:

• A strong background in data-centric, applied Machine Learning, with hands-on experience improving model performance through data quality, curation, labeling, and evaluation rather than model architecture alone

• Experience working on the data layer of Generative AI products, particularly involving images, video, or audio

• Excellent Python skills, with a strong focus on writing clean, maintainable, and well-tested code

• Hands-on experience designing, building, and operating workflow orchestration systems and large-scale data processing pipelines

Why join us?

We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why,

Our culture

At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here.

Serving 50,000+ customers (and 50% of the Fortune 500)

We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2.

Proprietary AI technology

Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind.

AI Safety, Ethics and Security

AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always.  Learn more about our commitments to AI Ethics, Safety & Security.

The good stuff...

• Competitive compensation (salary + stock options + bonus)

• Hybrid work setting with an office in London, Amsterdam, Zurich, Munich, or remote in Europe.

• 25 days of annual leave + public holidays

• Great company culture with the option to join regular planning and socials at our hubs

• \+ other benefits depending on your location

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Department

Technical Program Management

Compensation

• $257K – $335K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

OpenAI's Human Data Team creates custom data solutions driving groundbreaking research. Our work enhances and evaluates our flagship models and products like ChatGPT, GPT-4, and Sora, and contributes to safety initiatives through collaboration with our Preparedness and Safety Systems teams.

About the Role

As a Technical Program Manager (TPM) in the Human Data team you will partner with research and engineering to design and implement pragmatic solutions for collecting high-quality data. You will be a key interface between our research roadmap, external vendors, AI trainers, and the Human Data engineering team.

This role is based in our San Francisco HQ and will report to the Head of Human Data Operations. We offer relocation support to new employees.

In this role, you will:

• Collaborate with Research: Partner with researchers to scope data collection needs, define success metrics, and establish quality measurement frameworks.

• Design & Execute Data Collection Campaigns: Translate research needs into actionable plans and accelerate execution by leveraging existing tooling and iterating to reach the desired outcome. In many cases, you will need to implement scrappy new solutions while partnering with engineering to design robust/scalable solutions.

• Unblock Yourself: You must be deeply uncomfortable with the idea of sitting around waiting for external dependencies, and have the technical acumen and drive to figure out how to achieve at least partial success in the interim

• Optimize Systems & Processes: Build and optimize dashboards to track campaign performance, leveraging SQL and Python for data analysis and actionable insights.

• Drive Technical Roadmaps: Collaborate with engineers to enhance data platforms, resolve blockers, and ensure security best practices such as access management

• Scale Your Impact: Advise and empower program managers and vendors to drive day-to-day execution so that you can focus on addressing high priority opportunities.

You’ll thrive in this role if you:

• Proficient in SQL and Python for data analysis, including querying databases, processing large datasets, and generating actionable insights

• Proficient in Python for interacting with various tools via APIs, including sending requests, processing responses, and integrating functionalities into workflows

• Proficient in SQL for creating analytics dashboards, including writing complex queries, optimizing data retrieval, and visualizing insights for decision-making

• A strong understanding of how LLMs work and of prompt engineering

• Are excited to understand the technicalities of cutting edge AI research and work alongside researchers from instantiation to launch

• Enjoy being part of an ambitious and technically-minded team

• Have experience working at large scale across a portfolio of projects

• Want to get your hands dirty; grit and creative problem solving will be required daily

• Have an action-oriented and deeply curious mind

• Learn technical concepts exceptionally quickly, seeking out knowledge to become proficient in areas that are new to you

• Operate with high horsepower, are adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthless prioritization

• Thrive in dynamic environments and can navigate ambiguity with ease

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Department

Finance

Compensation

• $347K – $490K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

We are looking for a Director of Data Engineering and Agentic AI Automation to lead the next generation of our finance data infrastructure. As OpenAI expands its Finance operations, we need scalable and trustworthy data systems to match the pace and complexity of our growth. This includes well-modeled, auditable data for revenue recognition, financial reporting, and planning, supported by reliable pipelines that connect ERP, planning, and operational systems. You will lead a group of analytics engineers, data engineers, and AI engineers to build the data pipelines that connect our internal engineering systems with enterprise platforms such as Oracle Fusion ERP. This role will also define the roadmap for agentic AI automation, enabling intelligent workflows, process automation, and AI-driven decision-making across Finance.

In this role, you will:

• Build and maintain scalable, auditable data infrastructure that powers accurate financial information, with a focus on revenue recognition, compute attribution, and close automation.

• Lead and grow teams of analytics engineers, data engineers, and AI engineers to deliver high-impact, intelligent data systems.

• Guide work across financial close and allocations automation, B2C revenue automation from engineering systems to ERP (including reconciliation with cash and source systems), and other mission-critical financial processes.

• Design and implement data pipelines connecting ERP, planning, and operational systems, including Oracle Fusion, Anaplan, and Workday.

• Build and support scalable, audit-proof architecture that enables reliable financial reporting and compliance.

• Develop data and AI-powered workflows that enhance forecasting accuracy, compliance automation, and operational efficiency.

• Create and maintain data marts and products that support stakeholders across Revenue, FP&A, Tax, Procurement, Hardware Accounting, and Controller teams.

• Define and enforce best practices for data modeling, lineage, observability, and reconciliation across finance data domains.

• Set the technical direction and manage team structure, mentoring engineers and overseeing contractors or system integrators to ensure delivery of high-quality outcomes.

• Partner with senior leaders across Finance, Engineering, and Infrastructure to align on priorities and integrate new automation capabilities.

• Ensure data systems are AI-ready and capable of supporting predictive analytics, autonomous agent workflows, and large-scale automation.

• Own and maintain Tier-1 data pipelines with strict SLA, data quality, and compliance standards.

• Drive the long-term roadmap for agentic AI enablement to build the foundation for “Finance on OpenAI.”

You might thrive in this role if you have:

• 12+ years in data engineering, with proven experience building and managing enterprise-scale, auditable ETL pipelines and complex datasets

• Proficiency in SQL and Python, with demonstrated experience in schema design, data modeling, and orchestration frameworks

• Expertise in distributed data processing technologies such as Apache Spark, Kafka, and cloud-native storage (e.g., S3, ADLS)

• Deep knowledge of enterprise data architecture, especially within Finance and Supply Chain

• Familiarity with financial processes (close, allocations, revenue recognition) and supply chain data models (Supply and demand planning, procurement, vendor master), along with experience in ingesting data from internal engineering systems with large volumes of B2C

• Experience integrating with contract manufacturers and external logistics providers is a strong plus

• Strong track record of partnering with senior business stakeholders

Work Environment

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

XML job scraping automation by YubHub

Software Engineer, Backend (Knowledge Innovation)

Location

San Francisco; Seattle

Employment Type

Full time

Department

Applied AI

Compensation

• $230K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team The Knowledge Innovation team is scaling OpenAI with OpenAI. We are building a model powered knowledge system that evolves and learns as our products, systems and customers evolve. We leverage our state of the art models, technologies, and products (some external, some still in the lab) to assist or completely automate robust operations supporting both internal and external customers. We support OpenAI customers and internal partners globally, powering systems from customer support to integrity to product insights. We are a self-contained multi-disciplinary team, who enjoy a lightning fast feedback loop with customers at scale, some of whom sit just a few pods away. We iterate fast, and engineer for reliable long-term impact. We're constantly looking for the similarities and patterns in different types of work, and focus on building simple primitives, to apply world class knowledge to many domains.

The work of this team exemplifies use of OpenAI technologies. We build systems so everyone can see the leverage that is possible with well designed AI-based implementations. We do this by working through internal use cases focused on Customers (specifically knowledge systems, automation systems, and automated agent systems) to prove impact, then we scale.

About the Role We’re looking for a Backend Software Engineer to help architect and scale the infrastructure that powers our knowledge systems. This is a deeply technical and highly cross-functional role where you’ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI.

In this role, you will:

• Design, build, and maintain backend services and APIs to support intelligent automation and knowledge systems

• Integrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows.

• Collaborate closely with product, research, and engineering teams to integrate OpenAI models into high-leverage workflows

• Own the full development lifecycle of new backend systems and internal platform capabilities

• Build with scale and maintainability in mind, while rapidly iterating on new ideas

You might be a great fit if you have:

• 4+ years of backend engineering experience at product-driven companies (excluding internships)

• Proficiency in backend technologies. Our tech stack includes Python, FastAPI, and Postgres

• Experience designing and scaling distributed systems, APIs, or data processing pipelines

• A pragmatic mindset. You’re comfortable shipping iteratively while building toward a long-term vision

• An interest in structured knowledge representation, internal search, agent infrastructure, or systems that evolve over time

Curiosity about AI/ML and excitement to work alongside world-class research and product teams (hands-on experience is a bonus, not a must)

XML job scraping automation by YubHub

San Francisco; Seattle

Employment Type

Full time

Department

Applied AI

Compensation

• $230K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Support Automation team at OpenAI scales the organization by applying cutting-edge AI models to real-world challenges, automating and enhancing work across the organization. From customer operations to engineering, we develop an ecosystem of automation products that empower our colleagues and drive impact. We're passionate about crafting products that serve those around us, blending rapid prototyping with a focus on long-term quality and reliability. By creating reusable solutions, we create patterns that can be applied across diverse domains within OpenAI.

TLDR: this team leverages OpenAI technology to improve OpenAI, and you’ll have the opportunity to leverage the full extent of our tech (both public and pre-released) to accomplish this mission.

About the Role

We’re looking for a Backend Software Engineer with experience working in ML/LLM-heavy domains to help to design and build an evals infrastructure that measures the quality of OpenAI’s support automation. This is a deeply technical and highly cross-functional role where you’ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI. The role will especially focus on working closely with Data Science and Research partners to design and build evals at scale.

In this role, you will:

• Design eval pipelines that are reliable, reproducible, and extendable

• Build the infrastructure for continuous eval monitoring frameworks (regression/drift monitoring, building robust golden datasets) along with feedback loops that ultimately strengthen support automation

• Design, build, and maintain backend services and APIs to support intelligent automation and knowledge systems

• Integrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows.

• Collaborate closely with data, research, and engineering teams to integrate OpenAI models into high-leverage workflows

• Own the full development lifecycle of new backend systems and internal platform capabilities

• Build with scale and maintainability in mind, while rapidly iterating on new ideas

You might be a great fit if you have:

• 4+ years of backend engineering experience at product-driven companies (excluding internships)

• Proficiency in backend technologies. Our tech stack includes Python, FastAPI, and Postgres

• Experience designing and scaling distributed systems, APIs, or data processing pipelines

• Have experience building AI agents or applications, including designing evals and improving performance through prompting or scaffolding

• Are familiar with evaluation methods for LLMs and have worked with patterns like multi-agent workflows, tool use, or long context.

• Experience creating production evals and/or measuring performance of ML/LLM models at scale

• A pragmatic mindset. You’re comfortable shipping iteratively while building toward a long-term vision

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

XML job scraping automation by YubHub

We are looking for a talented tire or performance engineer. In this position, you will be responsible for the following:

Tire testing, modeling, and reporting In-lab test and modeling of all the tire manufacturer motorsport tires. Responsibilities include:

• Interface between test facility and tire manufacturer
• Development of tire testing procedures
• Tire test attendance (in person or virtually)
• Test data processing, modeling, and reporting

On-track testing and race events Responsibilities at the track include but are not limited to:

• Pre-event analyses and simulation
• Support teams
• Support the teams with any tire related issues they have. This could be related to performance, consistency, tire wear, failure, etc.
• We could be suggesting different cambers, pressures, car setup, warm-up procedure, oven temperature, driver inputs, and strategy to improve performance or limit tire degradation.
• If we are assigned to work more closely with a specific team, we can strengthen our relationship and might be doing other tasks that related to performance engineering in general
• Good communication is an important skill to perform this part of the work
• Gathering of feedback from the teams to understand what the drivers and teams have to say about the tires or development tires, and report back to the tire manufacturer
• Post-event data review and reporting
• Correlation between findings in the in-lab testing and on-track events

This position requires domestic and international travel.

Education & Experience

• Bachelor’s degree or higher in mechanical engineering or similar discipline
• Minimum of three years of experience in a similar position in series such as IMSA, WEC, ELMS, Formula 2, etc.

General Skills

• Proactive and capable of working with little guidance
• Good problem-solving skills
• Good team player and communicator
• Capable of working in a fast-paced environment and under pressure
• Willing to travel and work flexible hours, including weekends, as required
• Excellent oral and written English communication

Required Skills

• Good understanding of vehicle dynamics theory and application, simulation, and simulation validation
• Strong understanding of tires, suspension, and aerodynamics—as well as their interaction
• Tire models understanding and experience
• Experience with vehicle dynamics simulation software
• Proficiency in data analysis software programs (e.g., Motec i2, WinDarab, PI, Race Studio Analysis, etc.)
• Ability to develop internal tools/software for data processing and analysis
• Capable of using data processing and analysis as a decision-making tool
• Data-driven mindset
• Extremely organized and systematic approach to work

Preferred Skills

• Tire testing experience (test procedure development or test data processing)
• Tire modeling experience
• Tire physics understanding
• Laboratory test experience (e.g., K&C, Post-Rig, Wind Tunnel)
• Programming knowledge (Matlab, Python, VBA, etc.)
• Proficiency in one of the following languages would be an additional asset: Chinese, French, German, Japanese, Portuguese, or Spanish

Salary will be commensurate with experience and is negotiable

Can operate as an employee in the US or a contractor in the US or Europe

To apply, please send an email to jobs@optimumg.com

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Principal Software Engineer(Data) at their Beijing office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising advertising technology. You'll work directly with leadership to shape the company's direction in the advertising measurement ecosystem.

About the Role

As a Principal Software Engineer(Data), you will provide critical technical leadership across conversion and attribution, driving the continuous expansion of conversion signal coverage, the evolution of measurement logic, and systematic improvements in system reliability. Operating under complex business constraints and within a rapidly evolving industry landscape, the role requires balancing measurement accuracy, platform stability, and long-term extensibility. In close collaboration with product, modeling, and engineering partners, this position delivers stable, scalable conversion and attribution capabilities that create sustained business value.

Accountabilities

• Provides critical technical leadership across conversion and attribution, driving the continuous expansion of conversion signal coverage, the evolution of measurement logic, and systematic improvements in system reliability.
• Operating under complex business constraints and within a rapidly evolving industry landscape, the role requires balancing measurement accuracy, platform stability, and long-term extensibility.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Solid experience of shipping high performance C#, Java, or equivalent language code software.
• Understanding of distributed system and data parallel computing is preferred.
• Data processing or analytics experience with Spark, Flink, Kafka, Azure Data Lake is a plus.

Personal attributes:

• Quick learning and solid problem solving and debugging skills.
• Accountable and proactive.
• Good communication skill, fluent in English (both oral and written).

Benefits

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
• This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff - Data Research Engineer at their Redmond office. This role sits at the intersection of data and innovation—collaborating with scientists, engineers, and annotators to curate, analyze, and evaluate diverse multimodal data sources critical to model development. You will lead efforts to develop novel data collection strategies, improve dataset quality and integrity, understand data-driven model behaviors, and align datasets with ethical and societal values.

About the Role

As a Data Research Engineer, you will be responsible for creating high-quality datasets for training and evaluation, running experiments on new datasets (data ablations) to assess their impact and determine the most effective data. You will also develop and maintain scalable data pipelines for multimodal ingestion, preprocessing, filtering, and annotation. Additionally, you will analyze real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement. You will build lightweight tools and workflows for dataset auditing, visualization, and versioning. You will collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices.

Accountabilities

• Create high-quality datasets for training and evaluation
• Run experiments on new datasets (data ablations) to assess their impact and determine the most effective data
• Develop and maintain scalable data pipelines for multimodal ingestion, preprocessing, filtering, and annotation
• Analyze real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement
• Build lightweight tools and workflows for dataset auditing, visualization, and versioning

The Candidate we're looking for

Experience:

• 4+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)

Technical skills:

• Proficiency in statistics and exploratory data analysis methods
• Familiarity with data processing frameworks such as Spark, Ray, or Apache Beam

Personal attributes:

• Ability to communicate technical findings clearly to research and product teams

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff - Pretraining Text Data at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

We are seeking engineers and researchers to join our Pretraining Text Data team, where we are building the next generation of foundation large language models. If you are passionate about designing and curating high-quality datasets to power frontier AI models, this role is for you. In this role, you’ll work at the intersection of data and innovation—collaborating with scientists, engineers, and annotators to curate, analyze, and evaluate diverse text datasets critical to model development. You will lead efforts to:

• Develop novel data collection strategies
• Improve dataset quality and integrity
• Understand data-driven model behaviors
• Train models to understand the impact of data and data mixes
• Align datasets with ethical and societal values

Accountabilities

• Create high-quality datasets for training and evaluation; run experiments on new datasets (data ablations) to assess their impact and determine the most effective data.
• Develop and maintain scalable data pipelines for text data ingestion, preprocessing, filtering, and annotation.
• Analyze real-world text datasets to assess quality, diversity, relevance, and identify areas for improvement.
• Build lightweight tools and workflows for dataset auditing, visualization, and versioning.
• Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.) OR equivalent experience.

Technical skills:

• Proficiency in statistics and exploratory data analysis methods.
• Familiarity with data processing frameworks such as Spark, Ray, or Apache Beam.

Personal attributes:

• Ability to communicate technical findings clearly to research and product teams.

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment
• Access to cutting-edge technology and resources

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff, Multimodal Infrastructure to help build the next wave of capabilities of our personalized AI assistant, Copilot. We're looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.

About the Role

We are seeking a highly skilled and experienced engineer to join our team as a Member of Technical Staff, Multimodal Infrastructure. The successful candidate will be responsible for designing, developing, and maintaining large-scale multimodal data processing pipelines, model pretraining and post-training frameworks, and model inference and serving frameworks. They will work closely with research scientists and product engineers to solve infra-related problems and find a path to get things done despite roadblocks to get their work into the hands of users quickly and iteratively.

Accountabilities

• Design, develop, and maintain large-scale multimodal data processing pipelines.
• Design, develop, and maintain large-scale multimodal model pretraining and post-training frameworks.
• Design, develop, and maintain large-scale multimodal model inference and serving frameworks.

The Candidate we're looking for

Experience:

• Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Strong proficiency in distributed data processing infra (resource utilization management, fault tolerance, ray & spark) and CPU/GPU batch processing optimizations.
• Experience with state-of-art model inference and serving frameworks.
• Experience with image/video/audio data processing.
• Experience with common data formats for efficient I/O.

Personal attributes:

• Enjoy working in a fast-paced, design-driven, product development cycle.
• Embody our Culture and Values.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.
• Access to cutting-edge technology and tools.
• Flexible work arrangements.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff, Multimodal Infrastructure to help build the next wave of capabilities of our personalized AI assistant, Copilot. We're looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.

About the Role

We're looking for someone who will design, develop and maintain large-scale multimodal data processing pipelines, model pretraining and post-training frameworks, and model inference and serving frameworks. You will work closely with research scientists and product engineers on multimodal data processing, model training, inference and serving tasks. As a contributing member of the core group of engineers, you would also bring to the table best practices driving architectural changes and influence roadmap of relevant software and hardware components.

Accountabilities

• Design, develop and maintain large-scale multimodal data processing pipelines.
• Design, develop and maintain large-scale multimodal model pretraining and post-training frameworks.
• Design, develop and maintain large-scale multimodal model inference and serving frameworks.

The Candidate we're looking for

Experience:

• Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Strong proficiency in distributed data processing infra (resource utilization management, fault tolerance, ray & spark) and CPU/GPU batch processing optimizations.
• Experience with state-of-art model inference and serving frameworks.
• Experience with image/video/audio data processing.
• Experience with common data formats for efficient I/O.

Personal attributes:

• Enjoy working in a fast-paced, design-driven, product development cycle.
• Embody our Culture and Values.

Benefits

• Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.
• Comprehensive health and wellbeing benefits.
• Professional development opportunities.
• Financial benefits (bonus, equity, pension, etc.).

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff, Multimodal Infrastructure to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.

About the Role

As a Member of Technical Staff, Multimodal Infrastructure, you will be responsible for designing, developing, and maintaining large-scale multimodal data processing pipelines, model pretraining and post-training frameworks, and model inference and serving frameworks. You will work closely with research scientists and product engineers to solve infra-related problems and find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.

Accountabilities

• Design, develop, and maintain large-scale multimodal data processing pipelines.
• Design, develop, and maintain large-scale multimodal model pretraining and post-training frameworks.
• Design, develop, and maintain large-scale multimodal model inference and serving frameworks.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Strong proficiency in distributed data processing infra (resource utilization management, fault tolerance, ray & spark) and CPU/GPU batch processing optimizations.
• Experience with state-of-art model inference and serving frameworks.
• Experience with image/video/audio data processing.
• Experience with common data formats for efficient I/O.

Personal attributes:

• Enjoy working in a fast-paced, design-driven, product development cycle.
• Embody our Culture and Values.

Benefits

• Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.
• Comprehensive health and wellbeing benefits.
• Professional development opportunities.
• Financial benefits (bonus, equity, pension, etc.).

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff, Data Research Engineer to join their MAI Superintelligence Team in Zürich, Switzerland. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Data Research Engineer, you will be responsible for creating high-quality datasets for training and evaluation, running experiments on new datasets to assess their impact, and developing and maintaining scalable data pipelines for multimodal ingestion, pre-processing, filtering, and annotation. You will also analyze real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement. Additionally, you will build lightweight tools and workflows for dataset auditing, visualization, and versioning, and collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices.

Accountabilities

• Create high-quality datasets for training and evaluation
• Run experiments on new datasets to assess their impact and determine the most effective data
• Develop and maintain scalable data pipelines for multimodal ingestion, pre-processing, filtering, and annotation
• Analyze real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement
• Build lightweight tools and workflows for dataset auditing, visualization, and versioning

The Candidate we're looking for

Experience:

• Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or a related technical field
• Technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)

Technical skills:

• Proficiency in statistics and exploratory data analysis methods
• Experience in data analysis or data engineering

Personal attributes:

• Ability to communicate technical findings effectively to research and product teams

Benefits

• Competitive salary and benefits package
• Opportunity to work with a leading technology company in the AI industry
• Collaborative and dynamic work environment
• Professional development opportunities

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Data Research Engineer to join their MAI Superintelligence Team in London. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Data Research Engineer, you will be responsible for creating high-quality datasets for training and evaluation, running experiments on new datasets to assess their impact, and developing and maintaining scalable data pipelines for multimodal ingestion, pre-processing, filtering, and annotation. You will also analyse real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement.

Accountabilities

• Create high-quality datasets for training and evaluation
• Run experiments on new datasets to assess their impact and determine the most effective data
• Develop and maintain scalable data pipelines for multimodal ingestion, pre-processing, filtering, and annotation

The Candidate we're looking for

Experience:

• Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or a related technical field
• Technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)

Technical skills:

• Proficiency in statistics and exploratory data analysis methods
• Familiarity with data processing frameworks such as Spark, Ray, Apache Beam

Personal attributes:

• Ability to communicate technical findings effectively to research and product teams

Benefits

• Competitive salary and benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff, Infrastructure Data & Analytics to join their MAI SuperIntelligence Team. This role sits at the heart of strategic decision-making, turning raw telemetry into trusted, decision-quality insights on utilization, capacity, readiness, and efficiency. You'll work directly with leadership to shape the company's direction in the Superintelligence space.

About the Role

As a Member of Technical Staff, Infrastructure Data & Analytics, you will act as the technical lead and owner for infrastructure analytics across compute, storage, and networking. You will design and build durable, scalable data pipelines that ingest telemetry from clusters, schedulers, health systems, and capacity trackers into Data Warehouse. You will define and standardize core metrics and semantics (e.g., utilization, occupancy, MFU, goodput, capacity readiness, delivery-to-production). You will architect and maintain self-service dashboards and APIs for fleet, cluster, and squad-level visibility. You will partner closely with stakeholders across Supercomputing Infra, Researchers, Strategy and Executives to ensure metrics reflect operational and business reality.

Accountabilities

• Act as the technical lead and owner for infrastructure analytics across compute, storage, and networking.
• Design and build durable, scalable data pipelines that ingest telemetry from clusters, schedulers, health systems, and capacity trackers into Data Warehouse.

The Candidate we're looking for

Experience:

• 8+ years technical engineering experience with data engineering, analytics, or data science, with increasing technical ownership in startup environment.

Technical skills:

• Distributed data processing frameworks and large-scale data systems.

Personal attributes:

• Strong communication skills; can explain complex systems clearly to senior leader.

Benefits

• Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.
• Certain roles may be eligible for benefits and other compensation.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Principal Software Engineer(Data) at their Suzhou office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising advertising technology. You'll work directly with leadership to shape the company's direction in the advertising measurement ecosystem.

About the Role

As a Principal Software Engineer(Data), you will provide critical technical leadership across conversion and attribution, driving the continuous expansion of conversion signal coverage, the evolution of measurement logic, and systematic improvements in system reliability. Operating under complex business constraints and within a rapidly evolving industry landscape, the role requires balancing measurement accuracy, platform stability, and long-term extensibility. In close collaboration with product, modeling, and engineering partners, this position delivers stable, scalable conversion and attribution capabilities that create sustained business value.

Accountabilities

• Provides critical technical leadership across conversion and attribution, driving the continuous expansion of conversion signal coverage, the evolution of measurement logic, and systematic improvements in system reliability.
• Operating under complex business constraints and within a rapidly evolving industry landscape, the role requires balancing measurement accuracy, platform stability, and long-term extensibility.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Solid experience of shipping high performance C#, Java, or equivalent language code software.
• Understanding of distributed system and data parallel computing is preferred.
• Data processing or analytics experience with Spark, Flink, Kafka, Azure Data Lake is a plus.

Personal attributes:

• Quick learning and solid problem solving and debugging skills.
• Accountable and proactive.
• Good communication skill, fluent in English (both oral and written).

Benefits

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
• This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Senior Software Engineer at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising data collaboration technology. You'll work directly with leadership to shape the company's direction in the measurement and analytics markets.

About the Role

We are looking for a Senior Software Engineer who is passionate about distributed systems, privacy-enhancing technologies, secure data processing, and building reliable production services with global impact. The successful candidate will design and build highly scalable backend services and data pipelines that support privacy-preserving measurement and analytics scenarios using C# or Java. They will also drive integrations with external data and measurement partners, designing stable interfaces, schema governance patterns, and robust validation.

Accountabilities

• Design and build highly scalable backend services and data pipelines that support privacy-preserving measurement and analytics scenarios using C# or Java.
• Drive integrations with external data and measurement partners, designing stable interfaces, schema governance patterns, and robust validation.

The Candidate we're looking for

Experience:

• 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Experience with large-scale data processing frameworks (e.g. Spark, SQL-based pipelines) and cloud platforms.
• Understanding of secure data processing, encryption, identity, and access control.

Personal attributes:

• Solid problem-solving skills with a focus on reliability, observability, and system design.

Benefits

• Competitive salary range of USD $119,800 - $234,700 per year.
• Benefits and other compensation, including health and wellbeing benefits, professional development opportunities, and financial benefits.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Senior Software Engineer at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising data collaboration technology. You'll work directly with leadership to shape the company's direction in the measurement and analytics markets.

About the Role

We are looking for a Senior Software Engineer who is passionate about distributed systems, privacy-enhancing technologies, secure data processing, and building reliable production services with global impact. The successful candidate will design and build highly scalable backend services and data pipelines that support privacy-preserving measurement and analytics scenarios using C# or Java. They will also drive integrations with external data and measurement partners, designing stable interfaces, schema governance patterns, and robust validation.

Accountabilities

• Design and build highly scalable backend services and data pipelines that support privacy-preserving measurement and analytics scenarios using C# or Java.
• Drive integrations with external data and measurement partners, designing stable interfaces, schema governance patterns, and robust validation.

The Candidate we're looking for

Experience:

• 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Experience with large-scale data processing frameworks (e.g. Spark, SQL-based pipelines) and cloud platforms.
• Understanding of secure data processing, encryption, identity, and access control.

Personal attributes:

• Solid problem-solving skills with a focus on reliability, observability, and system design.

Benefits

• Competitive salary range of USD $119,800 - $234,700 per year.
• Benefits and other compensation as per company policy.

XML job scraping automation by YubHub

Microsoft are looking for a talented Principal Software Engineer to join their Microsoft AI – Copilot Discover – Knowledge Agent backend platform team, contributing to projects related to agentic vertical content generation pipelines, AI model serving pipeline, data ingestion, caching, and serving.

About the Role

We are looking for a Principal Software Engineer to join our Microsoft AI – Copilot Discover – Knowledge Agent backend platform team, contributing to projects related to agentic vertical content generation pipelines, AI model serving pipeline, data ingestion, caching, and serving. This platform powers backend support for verticals such as weather, finance, sports, and potentially others, delivering content across Microsoft canvases including Copilot, Edge, MSN, and Windows, reaching over 1B+ customers globally. The ideal candidate is passionate about backend engineering and skilled at building highly distributed, high-volume, and reliable service platforms in the cloud. Experience with cloud storage, distributed task orchestration, and large-scale data processing is required, with proficiency on Azure or equivalent technologies on AWS and GCP (e.g., S3, Cloud Storage, Kafka, Kubernetes).

Accountabilities

• Design, develop, test, and deploy data ingestion, pre/post processing, caching, and serving pipelines.
• Architect and implement scalable backend services with solid reliability and performance guarantees.
• Deploy algorithms and ML/DL models using containers and schedulers.

The Candidate we're looking for

Experience:

• 6+ years technical engineering experience with coding in languages including, but not limited to C#, .NET, or equivalents (e.g., Java, Go, Node.js).
• 5+ years of direct experience delivering, scaling, and owning highly successful and innovative multi-tiered distributed services.

Technical skills:

• Cloud storage, distributed task orchestration, and large-scale data processing systems on major cloud platforms (e.g., AWS S3, GCP Cloud Storage, Kafka, Kubernetes, Azure).
• Proficiency in Azure or equivalent technologies on AWS and GCP.

Personal attributes:

• Solid communication and leadership skills with a track record of cross-team collaboration.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

XML job scraping automation by YubHub