As a Senior System Software Integration and Validation Engineer, you will play a critical role in ensuring the quality and reliability of our automotive systems.

Your expertise will be vital in driving the success of our projects and maintaining our reputation for excellence.

Responsibilities

Design, Build and Maintain Complex Automotive System Level Test Benches

• Design, build and maintain complex automotive system level test benches to validate automotive systems with a focus on automation.

Develop Comprehensive Verification and Validation Plans

• Develop comprehensive verification and validation plans for automotive software systems and features.

Design and Execute Test Cases and Test Scripts

• Design and execute test cases and test scripts to verify system functionality, performance, and safety.

Develop and Implement Automation Scripts and Tools

• Develop and implement automation scripts and tools to enhance testing efficiency and accuracy.

Integrate Hardware and Software Components

• Integrate hardware and software components to create reliable and scalable test environments.

Lead Debug of Issues Encountered

• Lead debug of any issues encountered working with cross functional teams across the organization on identifying root cause, confirming fixes and providing guidance on how we can protect against future regressions

Collaborate with Cross-Functional Teams

• Collaborate with cross-functional teams, including software developers, controls engineers, and systems engineers to define and implement V&V strategies.

Continuously Improve Testing Processes and Tools

• Continuously improve testing processes and tools to enhance efficiency and effectiveness.

Prepare and Present Detailed Reports

• Prepare and present detailed reports on verification activities and results to stakeholders.

Qualifications

• Bachelor's degree in Electrical Engineering, Mechanical Engineering or equivalent combination of relevant education and experience.

• 5+ years of experience in the automotive or relevant industry.

• Strong understanding of automotive systems, embedded software, and control systems.

• Demonstrated experience with automotive testing instrumentation and tools.

• Proficiency in automotive communication protocols such as CAN, LIN, Ethernet, and FlexRay.

• Working knowledge of IDLs such as DBC, LDF, ARXML, and work with internal IDLs and frameworks.

• Experience with automotive or aerospace HIL test benches, particularly with dSPACE, Vector VT, or similar platforms.

• Experience writing and executing automated and manual tests.

• Deep expertise in the EE architecture and integration of complex automotive systems, including interactions across multiple domains (e.g., body, powertrain, chassis, ADAS) and ECUs.

• Proven track record of collaborating with large, cross-functional teams across hardware, software, and systems engineering.

• Deep understanding of software development lifecycle and automotive testing methodologies.

• Experience in system-level debugging and root-cause analysis across software and hardware boundaries.

• Proficiency in understanding wiring and logical schematics, network diagram and harness drawings.

• Ability to define and drive system validation plan from concept to production.

Benefits

• Immediate medical, dental, vision and prescription drug coverage.

• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more.

• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more.

• Vehicle discount program for employees and family members and management leases.

• Tuition assistance.

• Established and active employee resource groups.

• Paid time off for individual and team community service.

• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day.

• Paid time off and the option to purchase additional vacation time.

XML job scraping automation by YubHub

Your responsibilities will include defining and documenting vehicle-level acceptance criteria for ADAS features, leading/supporting the development of verification plans and verification methods, collaborating with global functional partners to meet system and vehicle level performance requirements, and cascading system-level requirements to functional partners.

You will also lead/support the development and sign-off of ADAS features on vehicle programs, support feature calibration studies to satisfy vehicle-level performance requirements, develop MATLAB and CAN tools for data collection and analysis, identify opportunities to utilize HiL and CAE methods for feature calibration and performance verification, plan and execute real-world evaluations of ADAS features via vehicle/HIL/virtual testing and identify system problems and issues, and support and coordinate root-cause analysis with internal functions and external suppliers to ensure delivered system achieves feature requirements.

You will benchmark competitors and monitor public domain requirements.

You will have a Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related technical field, and experience in developing features in the Driver Assistance domain using radars, cameras, lidars, ultrasonic sensors and other related vehicle systems (body, electrical, chassis, powertrain).

Familiarity with actuators and control systems is also required.

A Master's degree in Engineering (Electrical, Mechanical, Aerospace, Mechatronics, Software, Computer Science, AI, Systems Engineering, Product Development) or a related technical field is preferred, as well as experience applying Systems Engineering principles, experience with robotic verification and testing methods, troubleshooting experience with electromechanical systems, experience with differential GPS equipment, experience using typical automotive interfaces: CAN, CANFD, Autosar, Auto-Ethernet, etc., experience using Vector CANape, CANalyzer and dSPACE Controls Desk or similar tools, experience with Matlab/Simulink, experience in verification techniques (design verification methods, vehicle data acquisition/analysis), experience with virtual validation methods (HIL/MIL/SIL), strong leadership skills, passion for quality, passion to improve customer satisfaction, good communications and project management skills, strong oral & written skills, ability to work both independently and take initiative when necessary, and strong teamwork & interpersonal skills.

XML job scraping automation by YubHub

Responsibilities:

• Lead a high-performing team of Portfolio Data Engineers, fostering a culture of collaboration, innovation, and continuous improvement.
• Strategically prioritize and manage team workloads, ensuring effective task allocation and resource capacity to support team goals.
• Provide expert technical guidance and mentorship, ensuring adherence to best practices, coding standards, and architectural guidelines.
• Act as the Chief Data Technical Anchor for the PLMA domain, resolving critical incidents through Root Cause Analysis (RCA) and implementing permanent, resilient architectural fixes.
• Oversee the design, development, maintenance, scalability, reliability, and performance of data platform pipelines, aligning them with business needs and strategic objectives.
• Contribute to the long-term strategic direction of the Data Platform by proactively identifying opportunities for best practice adoption and standardization.
• Champion data quality, governance, and security standards, ensuring compliance and safeguarding sensitive data assets.
• Enhance efficiency and reduce redundancy by consolidating common tasks across teams.
• Effectively communicate decisions to stakeholders, building strong relationships and ensuring alignment on data initiatives.
• Maintain awareness of industry trends and emerging technologies to inform technical decisions.
• Lead the implementation of customer requests into data assets, ensuring optimized design and code development.
• Guide the team in delivering scalable, robust data solutions and contribute hands-on to critical projects, including design and code reviews.
• Lead technical decisions that drive data innovation and resilience.
• Demonstrate full stack cloud data engineering expertise, covering automation, versioning, ingestion, integration, transformation, optimization, and data modeling.
• Engage in agile planning, including scope, work breakdown structure, as well as roadblock resolution.
• Design solutions for cost and consumption optimization, scalability, and performance.
• Collaborate with Data Architecture and stakeholders on solution design, data consolidation, retention, purpose of use, compliance, and audit requirements.
• Drive engineering excellence by establishing and monitoring SWE-centric quality metrics (including DORA metrics and P99 latency targets).

Requirements:

• Bachelor's degree in Computer Science, Information Technology, Information Systems, Data Analytics, or a related field.
• 8+ years of experience in complex data environments, demonstrating increased responsibilities and achievements with:

+ Expertise in programming languages such as Python or Scala, and strong SQL skills. + Experience with ETL/ELT processes, data warehousing, and data modeling. + Experience with CI/CD pipelines, Docker, Git/Gerrit, and experience designing resilient deployment strategies and sophisticated release management. + Familiarity of data governance, privacy, quality, and monitoring.

• Proven experience in implementing sophisticated testing strategies, driving quality tool adoption, establishing comprehensive code review processes, and setting observability standards with advanced monitoring and proactive alerting.
• 5+ years of experience within the automotive industry or related product development environments and product lifecycle management.
• 5+ years of experience in leading software or data engineering teams, with a focus on team development and project success.
• 5+ years of experience in Big Data environments or expertise with Big Data tools, including:

+ Data processing frameworks and data modeling. + In-depth knowledge and practical experience with Google Cloud Platform services. + Proven experience in monitoring and optimizing costs and compute resources in hyperscaler platforms.

• Significant experience leveraging Generative AI and LLMs to optimize data engineering workflows (e.g., automated code generation, documentation, or metadata management).

Preferred Qualifications:

• Master's degree in Computer Science, Engineering, or a related field.
• Expertise in GCP based data engineering services like BQ, Dataflow, Airflow, Dataform, Datastream, Apache Beam, Cloud Run, Cloud Functions
• Familiarity with automotive Product Development processes, including program planning, design validation, and cross-functional collaboration across engineering, manufacturing, and supplier teams to deliver data-driven insights at each lifecycle stage
• Experience in managing and scaling serverless applications and clusters, focusing on resource optimization and robust monitoring and logging strategies.
• Proficiency in unstructured data ingestion, including experience with data modeling and preparation techniques to support AI and machine learning workloads.
• Experience with AI architecture and AI enabling tech (graph database, vector database, etc)
• Familiarity with data visualization tools (e.g., Power BI, Tableau).
• Working knowledge of ontology, semantic modeling, and related technologies

XML job scraping automation by YubHub

The ML Indexing & Retrieval Platform team at Reddit is responsible for building and scaling the core infrastructure that powers machine learning driven recommendations. We design and maintain systems for ML data ingestion, low-latency retrieval services, and end-to-end lifecycle management of data.

As a Senior Staff Software Engineer, you'll lead the development of next-generation ML Indexing & Retrieval systems, owning the full lifecycle from ideation to production. You'll partner closely with product engineers across Content Understanding, Search, Feeds, Ads, Growth, and Safety to deliver high-quality experiences.

You'll define best practices for observability, reliability, and operational excellence in large-scale distributed systems. You'll mentor and guide engineers in designing scalable infrastructure and adopting robust DevOps and SRE principles.

We're looking for someone with 10+ years of experience in software engineering, specializing in Indexing and Retrieval systems. You should have 3+ years in technical leadership, architecting and scaling distributed systems in production environments.

You'll need deep expertise in large-scale data platforms, including batch indexing and stream processing. You should have proven experience designing and operating large-scale, low-latency retrieval services.

You'll be skilled in designing cloud-native architectures and managing containerized workloads using Kubernetes and AWS/GCP. You'll be adept at translating complex technical challenges into clear, actionable strategies.

Strong communication and mentorship skills are essential, as you'll lead through collaboration, influence, and technical excellence.

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

XML job scraping automation by YubHub

$325K – $405K • 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.

About the Team

The Online Data team builds and operates the core online database and indexing services for OpenAI’s production AI applications, including supporting the explosive growth of ChatGPT, the #1 AI app in the world, and Codex, the fastest growing agentic development toolset in the world.

About the Role

We are seeking an Engineering Manager to lead our Online Data Systems team, responsible for our in-house database and indexing technology. This role is about shepherding a team of world-class engineers tasked with building and operating hyperscale data storage and retrieval technology.

You’ll be overseeing the delivery of extremely challenging engineering work in areas like distributed query execution, multi-region federation, self-orchestrating and self-healing services, low-level performance optimization, and more.

There are few companies in the world building this kind of technology in-house at this scale where you’ll still be getting in on the ground floor. Instead of being a cog in the machine spending months chasing small optimizations, you’ll play a major part of shaping our future.

In this role, you will:

• Build, lead, and grow high-performing infrastructure engineering teams.

• Drive the evolution of OpenAI’s in-house online data technologies, our core, hyper-scale database systems, indexing technologies, and vector search.

• Anchor delivery around measurable reliability goals (SLOs, etc) to ensure system performance and resiliency is above reproach.

• Champion pragmatic use of agent technology to amplify execution velocity.

• Reduce operational toil and incident frequency through better abstractions, guardrails, and self-healing systems.

You might thrive in this role if you:

• Have a truly insatiable spirit for operational excellence, demonstrated by having your hands-on in building and operating infrastructure with strict reliability, latency, and security requirements.

• Have experience managing data-intensive software engineering teams in intense, demanding environments.

• Bring deep hands-on understanding of database, indexing, storage, and distributed systems technologies.

• Effectively modulate your technical engagement to create space for a highly technical team to lead and grow.

• Have a demonstrable track record of hiring, developing, and retaining senior engineers.

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.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

XML job scraping automation by YubHub

This role sits at the intersection of sales execution, technical fluency, and cross-functional collaboration,and is critical to our growth in the Enterprise segment.

Key Responsibilities:

• Own your territory & build pipeline: Develop and execute a proactive outbound cadence (email, call, social) that generates ≥50 % of your booked opportunities.
• Deep discovery & qualification: Uncover pain, business impact, budget, and decision criteria using frameworks like MEDDPICC so you chase only the highest-confidence deals.
• Value storytelling & demos: Craft and deliver tailored narratives and live demos that map Elastic’s Search, Observability, and Security capabilities to measurable business outcomes.
• Mutual deal strategy & forecast accuracy: Collaborate with customers to build formal close plans and keep your CRM up-to-date, maintaining ≥90 % forecast accuracy within ±10 %.
• Executive negotiation & closing: Lead high-stakes contract and pricing discussions,defend your value, structure give/get trades, and land multi-year consumption commitments.
• Domain & cloud acumen: Position Elastic as the Search AI platform of choice by speaking fluently about cloud economics, usage-based pricing, and modern data architectures.
• Cross-functional partnership: Work hand-in-glove with Solutions Architects, Customer Success, Marketing, and RevOps to accelerate deals and drive exceptional customer outcomes.

Requirements:

• Proven SaaS quota-carrying success: 5+ years closing complex Enterprise deals, consistently overachieving targets in a consumption-based or usage-model environment.
• Expert discovery & qualification skills: Demonstrated ability to apply MEDDPICC or equivalent frameworks to drive disciplined pipeline and eliminate low-probability deals.
• Compelling value storytellers: Track record of delivering executive-level presentations and demos that tie product capabilities to real dollars saved, revenue gained, or risk mitigated.
• Strong negotiation chops: History of landing multi-year, high-ACV contracts while protecting margin and securing executive stakeholder buy-in.
• Technical & cloud fluency: Comfortable discussing a broad range of technical topics including observability, security, vector/traditional search, and cloud cost optimization.
• Collaborative mindset & coachability: A learner who partners effectively with internal teams, incorporates feedback, and embodies Elastic’s values of community and openness.
• Open Source enthusiasm: Genuine appreciation for open-source communities and the Elastic model,bonus if you’ve sold or advocated in an OSS context.

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development. If you're a motivated and experienced sales professional looking for a new challenge, we encourage you to apply.

XML job scraping automation by YubHub

We are a dynamic team of engineers and applied scientists, pushing the boundaries of Generative AI to deliver cutting-edge tools that drive impact at scale. We are looking for a Principal Applied Scientist to lead the development of the Copilot Chat Assistant to help advertisers navigate every step of their journey.

You will design and productionize systems that orchestrate multiple Large Language Models (LLMs) using Agentic Frameworks (e.g., Semantic Kernel) and leverages Vector Databases, Retrieval Augmented Generation (RAG), and Model Context Protocol (MCP) based tools to solve complex, multi-step tasks. Your work will directly impact the topline revenue metrics for Microsoft Advertising.

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:

Own the science roadmap for Copilot Chat Assistant – from ideation to reliable, safe production launches.

Design multi-agent reasoning systems that blend LLM orchestration, tool use, and state management for long-running tasks.

Build robust retrieval pipelines (RAG + vector stores) for precise, grounded answers across advertiser and campaign domains.

Advance prompt/program design (planning, decomposition, self-reflection, evaluation) to boost accuracy, latency, and cost efficiency.

Ship real features with engineering partners: telemetry, online evaluations/A-B tests, guardrails, red-teaming, and quality bars.

Mentor and multiply: guide applied scientists and engineers, set best practices, and raise the bar for scientific rigor.

Measure impact: define success metrics, instrument experiments, and iterate quickly based on data and customer feedback.

Qualifications:

Required Qualifications:

Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)

OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)

OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)

OR equivalent experience.

Preferred Qualifications:

Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)

OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)

OR equivalent experience.

5+ years experience developing and deploying live production systems, as part of a product team.

7+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

Experience using LLMs, agentic frameworks, RAG, vector databases to build complex production systems.

XML job scraping automation by YubHub

In this role, you'll:

• Architect, implement, and maintain scalable data pipelines and feature stores for batch and real-time workloads.
• Build reproducible ML training, evaluation, and inference workflows using modern orchestration and MLOps tooling.
• Integrate event streams from Twilio products (e.g., Messaging, Voice, Segment) into unified, analytics-ready datasets.
• Monitor, test, and improve data quality, model performance, latency, and cost.
• Partner with product, data science, and security teams to ship resilient, compliant services.
• Automate deployment with CI/CD, infrastructure-as-code, and container orchestration best practices.
• Produce clear documentation, dashboards, and runbooks; share knowledge through code reviews and brown-bag sessions.

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply.

XML job scraping automation by YubHub

In this role, you'll:

Architect, implement, and maintain scalable data pipelines and feature stores for batch and real-time workloads. Build reproducible ML training, evaluation, and inference workflows using modern orchestration and MLOps tooling. Integrate event streams from Twilio products (e.g., Messaging, Voice, Segment) into unified, analytics-ready datasets. Monitor, test, and improve data quality, model performance, latency, and cost. Partner with product, data science, and security teams to ship resilient, compliant services. Automate deployment with CI/CD, infrastructure-as-code, and container orchestration best practices. Produce clear documentation, dashboards, and runbooks; share knowledge through code reviews and brown-bag sessions. Embrace Twilio's 'We are Builders' values by taking ownership of problems and driving them to completion.

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply.

XML job scraping automation by YubHub

As a Principal Product Manager (PM) for the Search & AI team, you’ll architect solutions that reason, plan, and act across applications, the web, and the OS, empowering users to accomplish complex tasks with intelligence and reliability.

You’ll join a high-impact team that uses the cutting edge of generative model and applies to high-value product experiences across Search and Copilot.

Search & AI Experiences team thrives on rapid innovation, cross-functional collaboration, and a culture that values curiosity, autonomy, and bold problem-solving.

We work across a range of experiences spanning from user intent understanding, semantic understanding of queries and documents, vector-based information retrieval, generating card answers and user experiences and generative query suggestions.

We also work on leading edge of Responsible AI techniques to ensure high quality user interactions.

We seek PMs who have shipped 0-to-1 agentic products at leading AI startups or labs, great product sense and user experience instincts, driven growth or mindshare in the AI space, and excel in fast-paced, ambiguous environments.

If you’re energized by building the future of generative AI experiences and want to shape how intelligent agents empower millions, we want to hear from you!

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.

XML job scraping automation by YubHub

We are a dynamic team of engineers and applied scientists, pushing the boundaries of Generative AI to deliver cutting-edge tools that drive impact at scale. We are looking for a Principal Applied Scientist to lead the development of the Copilot Chat Assistant to help advertisers navigate every step of their journey.

You will design and productionize systems that orchestrate multiple Large Language Models (LLMs) using Agentic Frameworks (e.g., Semantic Kernel) and leverages Vector Databases, Retrieval Augmented Generation (RAG), and Model Context Protocol (MCP) based tools to solve complex, multi-step tasks. Your work will directly impact the topline revenue metrics for Microsoft Advertising.

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:

Own the science roadmap for Copilot Chat Assistant – from ideation to reliable, safe production launches.

Design multi-agent reasoning systems that blend LLM orchestration, tool use, and state management for long-running tasks.

Build robust retrieval pipelines (RAG + vector stores) for precise, grounded answers across advertiser and campaign domains.

Advance prompt/program design (planning, decomposition, self-reflection, evaluation) to boost accuracy, latency, and cost efficiency.

Ship real features with engineering partners: telemetry, online evaluations/A-B tests, guardrails, red-teaming, and quality bars.

Mentor and multiply: guide applied scientists and engineers, set best practices, and raise the bar for scientific rigor.

Measure impact: define success metrics, instrument experiments, and iterate quickly based on data and customer feedback.

Qualifications:

Required Qualifications:

Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)

OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)

OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)

OR equivalent experience.

Preferred Qualifications:

Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)

OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)

OR equivalent experience.

5+ years experience developing and deploying live production systems, as part of a product team.

7+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

Experience using LLMs, agentic frameworks, RAG, vector databases to build complex production systems.

XML job scraping automation by YubHub

At Coinbase, our mission is to increase economic freedom in the world.

We’re seeking a very specific candidate who is passionate about our mission and believes in the power of crypto and blockchain technology to update the financial system.

This role will guide a team working across a hybrid ecosystem of internal LLM-driven agents and key third-party integrations.

Responsibilities:

Lead AI Strategy & Execution: Drive the roadmap for our conversational AI stack, moving beyond simple decision trees into LLM-driven reasoning, RAG, and agentic workflows.

Orchestrate the AI Ecosystem: Oversee the integration of third-party AI solutions while simultaneously scaling our in-house LLM infrastructure to handle high-stakes crypto support queries.

Build Evaluation & Guardrails: Establish rigorous AI evaluation frameworks (LLM-as-a-judge) and feedback loops to ensure our models are accurate, grounded, and compliant with global financial regulations.

Agentic Automation: Move from "chat" to "action" by building secure pathways for AI agents to perform complex tasks (e.g., transaction troubleshooting, account recovery) via internal APIs.

Drive Technical Architecture: Define how we handle vector databases, prompt engineering, and context window management to provide a personalised experience for every Coinbase user.

Operational Excellence: Own the reliability of AI services, including latency optimisation, cost management (token usage), and fallback mechanisms to human agents.

Requirements:

8+ years of software engineering experience, with 2+ years leading high-performing teams in a fast-paced environment.

Hands-on AI/ML Leadership: Proven experience shipping products powered by Large Language Models (LLMs).

Systems Thinking: Experience building RAG (Retrieval-Augmented Generation) pipelines and managing the data lifecycle required to ground AI in real-time knowledge.

Platform Mindset: You’ve built scalable, distributed systems and understand how to integrate AI components into a high-traffic production environment (Go, Ruby, or similar).

Evaluation Obsessed: You don’t just "vibe check" AI; you have experience with quantitative evaluation frameworks to measure hallucination rates, accuracy, and customer sentiment.

Security & Safety First: A deep understanding of how to build AI "guardrails",ensuring models don’t leak PII or hallucinate financial advice.

Nice to haves:

Experience with Vector Databases (e.g., Pinecone, Weaviate, Milvus) and AI Orchestration frameworks (e.g., LangChain, LlamaIndex).

Experience in FinTech or Crypto, specifically navigating the balance between AI innovation and strict regulatory/compliance requirements.

Background in NLP (Natural Language Processing) or traditional Machine Learning before the Generative AI boom.

Proficiency in Golang and experience with modern cloud-native infrastructure (AWS, Kubernetes).

Pay Transparency Notice: The target annual base salary for this position can range as detailed below.

Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).

Annual base salary range (excluding equity and bonus):

₹9,424,500-₹9,424,500 INR

XML job scraping automation by YubHub

Your primary responsibilities will include configuring and generating AUTOSAR BSW modules using tools such as Vector DaVinci and EB tresos, ensuring smooth integration into our software platforms. You will also work in modern CI/CD environments with tools like Git, Gerrit, Jenkins, and Docker, contributing to stable and scalable build and integration flows.

A significant part of your role will involve supporting HIL/SIL testing and performing advanced fault analysis using tools such as Vector and Lauterbach Trace32, analyzing runtime behavior, memory usage, and integration challenges directly on target ECUs. Your work will be done in close collaboration with cross-functional teams, following MBSE principles and agile development methods to ensure robust, optimized, and future-proof software solutions.

To succeed in this role, you should have a strong background in software development, preferably with experience in embedded systems, and a good understanding of AUTOSAR methodology and related tools. You should also be proficient in C programming and have experience with communication protocols such as CAN, LIN, SPI, and Ethernet.

As a person, you should be comfortable working in complex technical environments, able to combine problem-solving skills with structured and analytical work. You should be curious, driven, and have a natural ability to see the big picture in a software platform, while also being willing to dive into details when needed. You should appreciate collaboration and knowledge sharing in cross-functional teams and communicate clearly and unpretentiously.

In return, we offer a dynamic and challenging work environment where you can grow, influence, and drive technological advancements forward – making a real difference for future mobility!

XML job scraping automation by YubHub

You will validate control algorithms for powertrain and energy management systems, conduct diagnostics and manage communication networks, and utilize Vector CAN tools and Matlab-Simulink for system modeling, simulation, and testing.

Your responsibilities will also include performing data acquisition and analysis to support validation and verification activities, driving innovation by proposing and developing new ideas in collaboration with cross-functional teams, and contributing to the improvement of cross-departmental processes in interdisciplinary environments.

You will support HV battery controls and functional safety activities, ensuring development quality and defining respective measures.

The ideal candidate will have a minimum Bachelor's degree in Electrical/Electronics/Control/Mechatronics/Mechanical or Automotive Engineering, preferably with at least 3 years of experience in battery development or automotive systems.

Fluent speaking and excellent writing skills in English are required, and German would be a plus.

Strong analytical skills and the ability to work in multidisciplinary teams are essential.

You should have a good understanding of or interest in lithium-ion batteries, battery system development, battery management systems, electrical components, sensors, and actuators, electrical safety standards and calculations, electric vehicles, electric machines, and power electronics, and automotive powertrain.

This is a permanent position, and the posting date was April 14, 2026.

XML job scraping automation by YubHub

The main task is to analyse and manage the events occurring throughout the Complete Vehicle testing activities, such as the corresponding validations, assessments, updates and analyses of the vehicles. This also includes documentation and communication of anomalies, complaints, findings, analysis results and performed activities.

Key responsibilities include: Creation of documents, reports, error analyses and its process documentation for Complete Vehicle testing Operational coordination and performance of complaint management in an interfacing function to the cross-departmental stakeholders at PAG and PEG Monitor vehicle quality by analysing development maturity level based on various sensors, including repetitive failures/findings reported by market-specific drivers Analysis of traces and fault memories (consolidated measurement data) with Porsche's proprietary testing systems and software in cooperation with PAG and PEG Departments Perform root cause analysis utilizing tools and software, such as Vector CANape, Vector CANoe, ETAS Measure Data Analyzer and other data acquisition means Plausibility check of the results of the measurement data analysis from the vehicle and implementation of validation tests Collaborate with PAG and PEG Departments responsible for Complete Vehicle Quality and Engineering to facilitate and expedite countermeasure development and validation Provide guidance and direction for technical personnel at Complete Vehicle Verification and Validation

The ideal candidate will have a Bachelor's degree in a relative field and proficient knowledge of complete vehicle systems and automotive technologies. Experience with Porsche's proprietary testing systems and methodologies is a plus. The salary range for this role is $31.00 to $38.00 per hour.

XML job scraping automation by YubHub

Honda has a clear vision for the future, and it’s a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success.

We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.

If your goals and values align with Honda’s, we want you to join our team to Bring the Future!

JOB PURPOSE:

The HILS Application Engineer III is responsible for the design, assembly, validation, and test deployment of HILS (Hardware-in-the-Loop Simulation) systems to support vehicle embedded software development.

KEY ACCOUNTABILITIES:

Creates and maintains software validation test plans to ensure complete coverage of test requirements by a given project development milestone. Responsible for the complete design of a HIL Simulator which includes simulator hardware selection, plant model specification and programming, I/O channel selection, and simulator/controller harness design. Prepares test automation scripts to meet testing requirements from the system function team. Accurately reports test results and conditions so that correct system judgments may be made. Documents test conduct and results, problems and resolutions and results of investigations in an established database. Coordinates the strategy to design, purchase, and deploy new HILS systems with the Global Engineering Center and System Suppliers Collects, implements, and maintains prototype control software and physical system models from related function groups.

QUALIFICATIONS, EXPERIENCE, & SKILLS:

Minimum Educational Qualifications:

A Bachelor's or equivalent degree / diploma in Mathematics / Computer Science / Electrical or Electronics Engineering or, Software Engineering or equivalent relevant work experience.

Minimum work experience:

3 or more years of relevant experience in the industry.

Required qualifying skills:

Must have strong demonstrable skills in Matlab / Simulink, in the control field. Working knowledge of embedded control (real-time), simulators and software. Acceptable platforms are dSPACE, National Instruments, Vector, and/or OEM Proprietary Tools A working knowledge of electrical and signal measurement tools and software. Working knowledge of vehicle systems and networks. Python programming skills.

Other Job-Specific Skills:

Strong quantitative/analytical problem-solving skills are required. Working knowledge of system modelling using CAE (Computer Aided Engineering) and analysis Ability to work effectively with team members and with peers across the organization. Decision-making skills, able to make sound decisions on mildly complex matters. Ability to multi-task and work with minimal supervision. Effective communication skills (written, verbal and presentation) Ability to manage time effectively and productively Can clarify and confirm understanding with Team Leaders and staff

Workstyle:

Must be able to work onsite at our Auto Development Center (ADC), in Raymond, OH. One remote workday a week may be possible with prior departmental approval.

What differentiates Honda and make us an employer of choice?

Total Rewards:

Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Paid Overtime Regional Bonus (when applicable) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible)

Career Growth:

Advancement Opportunities Career Mobility Education Reimbursement for Continued Learning Training and Development programs

Additional Offerings:

Tuition Assistance & Student Loan Repayment Lifestyle Account Childcare Reimbursement Account Elder Care Support Wellbeing Program Community Service and Engagement Programs Product Programs

XML job scraping automation by YubHub

Honda has a clear vision for the future, and it’s a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.”

We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.

If your goals and values align with Honda’s, we want you to join our team to Bring the Future!

Job Purpose

As member of Advanced Safety Controls (ASC) Division, your role would support the advancement and integration of driving assistance and vehicle dynamics control technologies working towards the future of electrification and advanced safety in Honda and Acura products. VCAP ADAS test engineers take ownership of developing a function or feature on the vehicle to suit the North American light duty market customer. You would work under the leadership and guidance of senior members in the group to build your knowledge and technical skills with autonomy as you gain experience.

Key Accountabilities

• Verify ADAS control system software function by completing standard requirement testing on simulation bench and in vehicle by proving grounds. Work with Technical Expert and other function PIC’s to countermeasure any issues found.
• Validate ADAS control system software through calibration by completing standard requirement testing on simulation bench and in vehicle by proving grounds. Work with Technical Expert and other function PIC’s to countermeasure any issues found.
• Support with preparation of verification test result documentation for assigned function and clearly present documentation to Section Chief, Technical Expert and Chief Engineer at data verification reviews. Continue to submit all necessary information as the development process moves forward.
• Support with management of one or more functions in vehicle development projects specifically related to ADAS control system specifications, actively maintain schedule and task list including internal, Japan R&D, and other function group schedules to ensure all expected deliverables are complete at each development milestone.
• Correlate with Technical Expert, Section Chief, or experienced PIC to support the integration of software functions into the vehicle, as well as verification of the function
• Develop own expertise and capabilities by participating in assessment and development planning activities as well as formal and informal training and coaching. Gain or maintain external professional accreditations where relevant to improve performance and fulfil personal potential. Build proficiency in relevant technology and increase knowledge of external regulations and industry best practices through ongoing education, conferences, and specialist publications.
• Support with identifying shortcomings in function specifications through market analysis, competitive benchmarking, and other research activities. Suggest solutions to improve the overall product to the customer from these activities.

Qualifications, Experience, and Skills

• Bachelor of Science in Mechanical Engineering, Controls Engineering, Automotive Engineering
• Co-op/intern experience preferred
• Basic understanding of requirements management, function validation, diagnostics, and CAN structures or micro controller communication structures
• Familiarity with control specification development
• Demonstrated analytical skills necessary to troubleshoot control system issues, propose and implement potential solutions.
• Hands on mechanical ability / understanding of vehicle systems and cross functional interactions
• Strong PC Skills (Excel, PowerPoint, Project, and other technical software)
• Experience with data acquisition systems such as ETAS and Vector CAN tools is a plus
• Experience with programming (C++, Python, Java, Matlab, etc) is a plus
• Familiarity with ISO 26262 standard for functional safety
• Some travel domestic and internationally should be expected to visit various proving grounds, visit suppliers’ engineering offices and production locations and support Honda factories during pre-production launch timings.
• Valid driver’s license required to operate vehicles on proving grounds.

What differentiates Honda and make us an employer of choice?

Total Rewards:

• Competitive Base Wages (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.)
• Paid Overtime
• Regional Bonus (when applicable)
• Industry-leading Benefit Plans (Medical, Dental, Vision, Rx)
• Paid time off, including vacation, holidays, shutdown
• Company Paid Short-Term and Long-Term Disability
• 401K Plan with company match + additional contribution

Career Growth:

• Advancement Opportunities
• Career Mobility
• Education Reimbursement for Continued Learning
• Training and Development Programs

Additional Offerings:

• Lifestyle Account
• Childcare Reimbursement Account
• Tuition Assistance & Student Loan Repayment
• Elder Care Support
• Wellbeing Program
• Community Service and Engagement Programs
• Product Programs

XML job scraping automation by YubHub

The associate will assume PIC (Person-in-Charge) responsibility for specific ADAS technologies and corollary testing within a development project(s); as well as lead/mentor junior engineers within the group.

Responsible for the development of the Advanced Driver Assist Systems (ADAS) - Parking Systems and Camera functions, as well as tuning vehicle control systems.

Develop the functional requirements related to CAN interface, Self-Diagnostic, Failsafe Detection for each vehicle development, working with the system supplier to lead the integration of these functions into the vehicle, as well as verification of the functions.

Roles include project management activities, overseeing the testing of the related vehicle systems, negotiating the hardware and software interfaces to integrate the system into the vehicle, instrumenting and troubleshooting vehicles for testing, analyzing test data, recommending solutions for test failures, determining root cause(s) and leading/coaching/mentoring junior engineers within the group as a Lead PIC (person in charge) for development projects.

Manage development projects/schedules, coordinate with corollary departments/suppliers and research new technologies and market trends

Creating and presenting technical documents/reports, including comprehensive root cause analysis when required.

XML job scraping automation by YubHub

Your primary focus will be on designing, executing, and optimizing upstream Lentiviral Vector (LVV) processes with a primary focus on suspension bioreactor platforms at clinical and commercial scales. You will contribute hands-on to experimental design, process characterization, and scale-up/tech transfer activities from research through IND enabling, partnering closely with Research, Analytical Development, CMC, Regulatory, Manufacturing, Quality, and external CDMOs.

Key Responsibilities:

• Plan and perform experiments to develop and optimize LVV upstream processes for suspension cell culture (transient or stable producer cell systems), targeting improvements in titer, quality, robustness, and cost.

• Execute unit operations across seed, production, and harvest interfaces; support scale-up strategies from bench to pilot and clinical scales; develop and use scale-down models for characterization and comparability.

• Design DOE studies, identify CPPs/CMAs, analyze data, and propose control strategies; document results in protocols and reports; maintain fit for-purpose knowledge records.

• Contribute to definition of design space, in-process controls, and operating ranges; trend process performance and drive troubleshooting, root cause analysis, and corrective actions.

• Prepare technical transfer packages and support transfers to internal GMP sites and CDMOs; align process documentation with cGMP principles for late-stage readiness.

• Work closely with Analytical Development on assay readiness and in process testing; partner with Manufacturing, Supply, and Quality to ensure operational feasibility and compliance.

• Apply Lean practices and digital tools for scheduling, data integrity, and reproducibility; track KPIs (titer, infectivity, impurity profiles, cycle time, right first time) and recommend improvements.

Qualifications:

• Education: Ph.D. in Chemical Engineering, Biochemical Engineering, Biotechnology, or related field with 1+ years of industry experience; OR M.S. with 4+ years; OR B.S. with 5+ years of hands-on industry experience.

• Experience: Hand-on experience developing suspension-based LVV upstream processes; familiarity with clinical/commercial scale considerations, process characterization, and technology transfer.

• Technical Skills: Proficiency in suspension cell culture, transfection/infection strategies, media/feed optimization, single-use rocking-platform and stirred-tank bioreactors, and upstream-harvest interfaces; working knowledge of statistical DOE and data analytics tools.

• GMP Readiness: Experience supporting cGMP interfaces (documentation, change control, sampling plans) and contributing to CMC sections or technical responses is a plus.

• Communication & Teamwork: Strong written and verbal communication skills; ability to work effectively in cross-functional, matrixed teams; demonstrated problemsolving and troubleshooting capability.

• Tools & Automation: Experience with single-use systems, process automation/PAT, and digital lab systems (ELN/LIMS) preferred.

Preferred Qualifications:

• Demonstrated success scaling suspension LVV processes to pilot/clinical scales and sustaining performance via monitoring and continuous improvement.

• Experience linking upstream parameters to analytical outcomes (titer, infectivity/potency, residuals/impurities) to guide process decisions.

• Contributions to regulatory filings (data tables, process descriptions) and participation in tech transfer to CDMOs or internal GMP sites.

• Experience implementing Lean/continuous improvement and robust documentation/knowledge management in PD labs.

XML job scraping automation by YubHub

Responsibilities:

• Perform tasks in a manner consistent with safety policies, quality systems, and cGMP requirements.
• Assist in the development of Standard Operating Procedures (SOPs) for manufacturing processes.
• Assist in setting up manufacturing areas and equipment, including complex automated cell processing equipment.
• Follow all cleaning and gowning procedures for the facility.
• Maintain appropriate inventories of material and supplies within the cleanroom areas to support manufacturing activities.
• Ensure all materials and equipment are identified and available in time for manufacturing activities.
• Support Process Development and MSAT to align manufacturing plans with overall product development plans.
• Ensure that all production operations are controlled and executed within cGMP regulatory guidelines.
• Provide timely verbal and written updates to Manufacturing leadership.
• Support all new product/process introductions on site.
• Interact with vendors and outside resources.
• Complete assigned projects.
• Be the shift lead if required, providing instruction to the team.
• Troubleshoot and resolve operational problems during processing.
• Represent Manufacturing in cross-functional initiatives and meetings.
• Monitor and evaluate process trends and recommend and implement continuous improvement strategies as appropriate.
• Manage multiple projects independently.
• Plan and implement complex changes.
• Perform Environmental monitoring as required.
• Technical expert for entire area(s).
• Interact independently with regulatory agencies.
• Develop and provide training on complex manufacturing processes.
• Perform Manufacturing review and approval of critical documents.
• Develop process validation protocols.
• Maintain good housekeeping and clean and sanitize classified areas as required.
• Analyze complex problems and determine and implement solutions.
• Other duties and projects assigned to meet business needs.

XML job scraping automation by YubHub

Scale's rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world.

Our core work consists of creating custom AI applications that will impact millions of citizens, generating high-quality training data for national LLMs, and upskilling and advisory services to spread the impact of AI.

As a Principal AI Ops Architect, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners.

At Scale, we're not just building AI solutions,we're enabling the public sector to transform their operations and better serve citizens through cutting-edge technology.

Responsibilities

• Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies.
• Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment.
• Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability.
• Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks.
• Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again.
• Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials.
• Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases.

Ideal Candidate

• Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector.
• Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI.
• System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core.
• Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools.
• Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them.
• Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy.
• Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it.

Benefits

• Competitive salary and benefits package
• Opportunity to work with a leading AI company
• Collaborative and dynamic work environment

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.

XML job scraping automation by YubHub

This is a 0→1 build team. We’re looking for a sharp, product-minded Senior Engineer who thrives in ambiguity, moves quickly, and enjoys building new systems from scratch alongside customers and cross-functional partners. You’ll work closely with product, forward-deployed engineers, data scientists, and applied AI teams to turn real-world problems into scalable, production solutions.

If you like shipping fast, owning outcomes, and working across the stack,from polished frontends to distributed backends to LLM integrations,this role is for you.

Responsibilities

• Own major full-stack product areas, driving features from concept and design through production deployment
• Build intuitive, high-performance frontend experiences using React + TypeScript
• Develop reliable backend services in Python, working with distributed systems, data pipelines, and AI/ML infrastructure
• Integrate LLMs, vector databases, and agentic frameworks to power intelligent workflows and decision-making systems
• Ship quickly through tight experimentation loops while maintaining high quality and reliability
• Help define the technical direction and architecture of a brand-new team and product surface
• Adapt across the stack and learn new tools as needed to solve real problems end-to-end

Ideal Experience

• 5+ years of full-time software engineering experience
• 0-1 product build experience
• Familiarity with LLMs, embeddings, vector databases, or modern AI data products/tools
• Experience with distributed systems and cloud-based architectures
• Prior experience mentoring or leading team

What We Value

• Strong product intuition and customer empathy
• Bias toward action and rapid iteration
• Ownership mentality , you see problems through to outcomes
• Comfort collaborating across engineering, product, data science, and applied AI
• Excitement about building agentic systems that make AI genuinely useful in the real world

XML job scraping automation by YubHub

Key responsibilities include:

• Delivering experiments at a high velocity and level of quality to engage our customers
• Working across the entire product lifecycle from conceptualization through production
• Being able, and willing, to multi-task and learn new technologies quickly

Ideally, you'd have:

• 7+ years of full-time engineering experience, post-graduation
• Experience scaling products at hyper growth startups
• Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies
• Proficient in Python or Javascript/Typescript, and SQL
• Experience with Kubernetes
• Experience with major cloud providers (AWS, Azure, GCP)

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.

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.

XML job scraping automation by YubHub

You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability.

Key responsibilities include:

• Owning large new areas within our product
• Working across backend, frontend, and interacting with LLMs and ML models
• Delivering experiments at a high velocity and level of quality to engage our customers
• Working across the entire product lifecycle from conceptualization through production

Ideally, you'd have:

• 4+ years of full-time engineering experience, post-graduation
• Experience scaling products at hyper growth startups
• Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies
• Proficient in Python or Javascript/Typescript, and SQL
• Experience with Kubernetes
• Experience with major cloud providers (AWS, Azure, GCP)

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.

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.

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

Responsibilities

• Own major full-stack product areas, driving features from design through production deployment.
• Build modern frontend experiences using React and TypeScript, ensuring performance, usability, and responsiveness.
• Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components.
• Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences.
• Deliver experiments and new features quickly, maintaining high quality and tight feedback loops with customers.
• Collaborate across product, ML, and infrastructure teams to shape the direction of Scale GP.
• Adapt quickly,learning new technologies, frameworks, and tools as needed across the stack.

Ideal Experience

• 5+ years of full-time engineering experience, post-graduation.
• Strong experience developing full-stack applications using React, TypeScript, and Python.
• Experience scaling or shipping products at high-growth startups.
• Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling (tinkering or production experience welcome).
• Proficiency with SQL and modern API development.
• Experience with Kubernetes, containerization, and microservice architectures.
• Experience working with at least one major cloud provider (AWS, GCP, or Azure).

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.

XML job scraping automation by YubHub

You will work with Solution Architects to guide customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform.

You will continue to strengthen your technical skills through applying cutting-edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader.

The impact you will have:

• Architect production-level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimisation, integration with cloud-native services, MLOps, etc.

• Serve as trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems

• Build, scale, and optimise customer AI workloads and apply best-in-class MLOps to productionise these workloads across a variety of domains

• Provide advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform, as well as participating in the larger ML SME community in Databricks

• Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks' AI offerings

What we look for:

• 5+ years of hands-on industry ML experience in at least one of the following:

• ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring.

• AI Engineer: Experience with the latest techniques in LLMs & agentic systems including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI

• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience

• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike

• Passion for collaboration, life-long learning, and driving business value through ML & AI

• [Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role

• Can meet expectations for technical training and role-specific outcomes within 3 months of hire

• This role can be remote, but we prefer that you be located in the job listing area and can travel up to 30% when needed

Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilising the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $219,100-$301,300 USD

XML job scraping automation by YubHub

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.

You will architect and implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail.

Key responsibilities include:

• Architecting multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers.
• Using our own data and AI platform to analyse build and test logs and metrics to identify areas for improvement.
• Defining the architectural patterns for our multi-cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers.
• Enhancing 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.
• Collaborating with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs.
• Designing and championing highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale.
• Leading the infrastructure roadmap with a strong focus on compliance, privacy, and security standards, including designing change management and data isolation strategies.
• Owning the development and maintenance of our best-in-class Agentic observability platform (logging, metrics, tracing, and analytics) to proactively ensure system health and enable rapid incident response.
• Driving developer efficiency by building automated tooling and championing Infrastructure-as-Code (IaC) paradigms throughout the engineering organization to improve workflows and operational efficiency.

The ideal candidate has proven experience in a senior role, with 5+ years of full-time software engineering experience, and a deep understanding of modern infrastructure practices, including CI/CD, IaC (e.g., Terraform, Helm Charts), container orchestration (e.g., Kubernetes) and observability platforms (e.g., Datadog, Prometheus, Grafana).

Extensive experience with at least one major cloud provider (AWS, Azure, or GCP) and strong knowledge of security and compliance in enterprise environments, with a focus on access management, data isolation, and customer-specific VPC setups is required.

Proficiency in Python or JavaScript/TypeScript, and SQL is also necessary.

Bonus points for hands-on experience and a passion for working with Agents, LLMs, vector databases, and other emerging AI technologies.

XML job scraping automation by YubHub

You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments.

This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows.

Customer Integration & Deployment

Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements.

Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs).

Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows.

Deploy and configure AI models and agents within customer security and compliance boundaries.

AI Agent Development

Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation.

Architect multi-agent systems that orchestrate between different models, tools, and data sources.

Implement evaluation frameworks to measure agent performance and iterate toward business objectives.

Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement.

Prompt Engineering & Optimization

Create sophisticated prompt engineering strategies optimized for customer-specific domains and data.

Build and maintain prompt libraries, templates, and best practices for customer use cases.

Conduct systematic prompt experimentation and A/B testing to improve model outputs.

Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate.

Leadership & Collaboration

Serve as the Engineering Manager and technical point of contact for strategic enterprise accounts.

Lead a team that is collaborating with customer data scientists, ML engineers, and software developers to ensure smooth integration.

Work closely with Scale's product and engineering teams to translate customer needs into product improvements.

Document technical architectures, integration patterns, and best practices.

Problem Solving & Innovation

Debug complex technical issues across the entire stack, from data pipelines to model outputs.

Rapidly prototype solutions to unblock customers and prove out new use cases.

Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems.

Identify opportunities for productization based on common customer patterns.

XML job scraping automation by YubHub

Scale's rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world.

Our core work consists of creating custom AI applications that will impact millions of citizens, generating high-quality training data for national LLMs, and upskilling and advisory services to spread the impact of AI.

As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners.

Responsibilities

• Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies.

• Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment.

• Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability.

• Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks.

• Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again.

• Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials.

• Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases.

Ideal Candidate

• Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector.

• Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI.

• System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core.

• Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools.

• Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them.

• Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy.

• Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it.

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.

XML job scraping automation by YubHub

You are a Systems Engineer at heart, but you are ready to apply LLMs, RAG, and predictive modeling to solve infrastructure challenges at scale.

Our Team's Stack:

• Languages: Python, Go, bash/sh
• Observability: Prometheus, Victoria Metrics, Grafana
• OS & Kernel: Linux Kernel (custom build), Ubuntu
• Hardware: Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs
• Containerization: Docker, Kubernetes (k8s), KubeVirt, containerd, kubelet

Responsibilities:

• Pipeline Architecture: Design, maintain, and automate reproducible OS image build pipelines for our massive fleet of GPU-accelerated servers.
• Kernel Distribution: Collaborate with kernel engineers to package, validate, and distribute custom Linux builds across Intel, AMD, and ARM architectures.
• Dependency Management: Build tooling to manage dependencies, versioning, and release workflows, ensuring hermetic builds.
• Telemetry & Metrics: Standardize the collection of build metrics to create a baseline for future AI modeling.
• 'Smart' CI/CD & Auto-Remediation: Architect AI agents that ingest and analyze build logs in real-time. Develop systems that auto-triage errors, categorize failure patterns, and generate context-aware fix suggestions for engineering teams.
• Predictive Regression Modeling: Design ML workflows that utilize historical performance data to detect kernel and OS regressions (latency, throughput, stability) in staging environments before they impact production.
• Dynamic Kernel Tuning: Implement closed-loop feedback systems that analyze real-time system metrics and automatically suggest or apply sysctl parameter optimizations for specific customer workloads.
• Next-Gen ChatOps: Engineer LLM-driven interfaces for Slack/internal tools, enabling stakeholders to query build statuses, request log summaries, or provision resources using natural language commands.

Requirements:

• 4+ years of professional experience in Linux Systems Engineering, Release Engineering, or DevOps.
• Deep knowledge of Linux internals (boot process, kernel modules, networking stack).
• Experience with package management (Debian/Ubuntu) and build systems.
• Strong proficiency in Python (essential for the AI integration aspects of this role).
• Demonstrable experience integrating API-based AI models (OpenAI, Anthropic, or local open-source models) into software workflows.
• Understanding of RAG (Retrieval-Augmented Generation) architectures for querying technical documentation or logs.
• Experience building event-driven automation (e.g., using webhooks to trigger analysis agents).
• Familiarity with data structures required for vector search or time-series analysis.

Nice-to-haves:

• Experience with Kubeflow or MLFlow.
• Background in High-Performance Computing (HPC).
• Experience fine-tuning small language models (SLMs) for code or log analysis tasks.

XML job scraping automation by YubHub

Our ideal candidate has a passion for database systems, storage systems, distributed systems, language design, or performance optimization, with 5+ years of experience working in a related system. A PhD in databases or distributed systems is optional.

As a member of our team, you will be motivated by delivering customer value and impact, and will have the opportunity to work on a multi-year vision with incremental deliverables.

The pay range for this role is $166,000-$225,000 USD, and the total compensation package may also include eligibility for annual performance bonus, equity, and benefits.

XML job scraping automation by YubHub

Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.

More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.

We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time.

Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.

Visit dialpad.com to learn more.

Being a Dialer

At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.

We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.

We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level.

We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.

Your role

Dialpad’s Product Engineering organization is responsible for building and maintaining the customer-facing features at scale across all of our cloud-native products and services.

Every day, millions of users across the world leverage our technology for communicating effectively and efficiently.

Every engineer on our global engineering team is given the opportunity to take ownership of a large portion of the product where they’re able to see immediate results.

Combining natural language processing and artificial intelligence with world-class cloud computing, the things you’ll create at Dialpad will shape the future of work,enabling companies to work from anywhere and making business communication more human.

Dialpad’s Analytics team owns data pipelines, multiple databases, a modular query layer, and rich FE components to deliver intuitive and powerful end-user-facing analytics experiences that allow Dialpad customers to make data-driven business decisions.

Our teams are highly collaborative and comprise cross-disciplinary professionals, including Product Managers, Designers, QA specialists, as well as Engineers specialising in Data Engineering, Data Science, and Telephony.

This position reports to the Engineering Manager, who is based in Bengaluru, and the role will be based in our Bengaluru, India Office.

The position will require a hybrid working arrangement based out of our Bengaluru office.

What you’ll do

• Contribute to the design, development, and maintenance of information retrieval and distributed systems.

• Build and optimize search engines, including indexers, analyzers, ranking, and re-ranking strategies.

• Work on hybrid search techniques, including dense vector manipulation, rank fusion, and reranking.

• Maintain and enhance highly scalable search platforms with a focus on performance and cost efficiency.

• Ensure high availability, reliability, and fault tolerance in search services.

• Collaborate with cross-functional teams to translate business requirements into technical solutions.

• Develop and optimize real-time distributed systems, microservices, and message-driven architectures.

• Implement and maintain monitoring, alerting, and performance metrics for platform reliability.

• Evaluate and integrate emerging technologies to improve search capabilities.

• Write clean, modular, and well-tested code while following best engineering practices.

• Participate in code reviews to ensure quality, maintainability, and scalability.

• Provide mentorship and technical guidance to junior engineers.

Skills you’ll bring

• 4-7 years of experience in information retrieval or distributed systems engineering.

• Strong understanding of search platforms and experience maintaining search engines at scale.

• Deep knowledge of indexers, analyzers, field mapping, and ranking techniques.

• Experience with NLP/NLU within the context of information retrieval.

• Expertise in dense vector manipulation and optimization.

• Familiarity with hybrid search, rank fusion, and reranking techniques.

• Proficiency in Go and Python 3 (experience with Rust or TypeScript is a plus).

• Strong understanding of distributed systems, microservices, and message-driven architectures.

• Passion for real-time performance optimization and high availability.

• Experience with API design using Swagger, OpenAPI, or equivalent tools.

• Knowledge of gRPC or equivalent RPC protocols.

• Experience with Docker and Kubernetes for containerized deployments.

• Familiarity with cloud platforms (GCP preferred, AWS/Azure optional).

• Hands-on experience with Infrastructure as Code tools like Terraform or Ansible.

• Knowledge of CI/CD frameworks and continuous delivery practices.

Why Join Dialpad

• Work at the center of the AI transformation in business communications

• Build and ship agentic AI products that are redefining how companies operate

• Join a team where AI amplifies every employee’s impact

• Competitive salary, comprehensive benefits, and real opportunities for growth

We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential.

We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection.

Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.

Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply.

Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.

XML job scraping automation by YubHub

Responsibilities:

• Drive requirements clarity and design decisions for ambiguous problems
• Produce technical design documents and project plans
• Develop new features
• Mentor more junior engineers
• Test and rollout to production, monitoring

Requirements:

• Passion for database systems, storage systems, distributed systems, language design, or performance optimization
• Comfortable working towards a multi-year vision with incremental deliverables
• Customer-oriented and focused on having an impact
• 5+ years of experience working in a related system
• Optional: PhD in databases or distributed systems

Benefits:

• Comprehensive benefits and perks that meet the needs of all employees
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

At Databricks, we strive to provide a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

XML job scraping automation by YubHub

You will work with Solution Architects to guide customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform.

Your responsibilities will include:

• Architecting production-level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc.

• Serving as a trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems

• Building, scaling, and optimizing customer AI workloads and applying best-in-class MLOps to productionize these workloads across a variety of domains

• Providing advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform, as well as participating in the larger ML SME community in Databricks

• Collaborating cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks' AI offerings

We are looking for someone with 5+ years of hands-on industry ML experience in at least one of the following areas:

• ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring.

• AI Engineer: Experience with the latest techniques in LLMs & agentic systems including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI

A graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience is also required.

Additionally, experience communicating and/or teaching technical concepts to non-technical and technical audiences alike is highly valued.

The salary range for this position is $180,000-$247,500 USD, depending on location.

XML job scraping automation by YubHub

As a Software Engineer on the Databases team, you will architect and operate database systems that both enable millions of users to interact with Claude and support cutting-edge AI research.

This is a unique opportunity to tackle database challenges at unprecedented scale. You'll develop the database strategy for Anthropic, design systems that handle billions of API requests, create storage solutions that work seamlessly across GCP, AWS, and diverse deployment models, and build the reliable data layer that accelerates research experimentation.

Responsibilities:

• Drive the technical direction for database solutions used across Product and Research

• Design and implement database solutions that scale to support millions of users across Claude's product ecosystem

• Build and scale database systems through 100x+ growth while maintaining reliability and performance

• Architect data storage solutions that work seamlessly across GCP, AWS, first-party deployments, third-party deployments, and other environments

• Develop database infrastructure that serves both product and research workloads with different performance characteristics

• Partner with product and research teams to understand data requirements and build infrastructure that accelerates innovation

• Optimize database performance, reliability, and cost efficiency at massive scale

• Make critical build vs. buy decisions for database technologies

You might be a good fit if you:

• Have 10+ years of experience in a Software Engineer role, building and scaling database systems

• Have 3+ years of experience leading large scale, complex projects or teams as an engineer or tech lead

• Possess deep expertise in distributed database architectures and OLTP systems at scale

• Have successfully scaled databases through massive growth at high-growth companies

• Can balance the speed of a startup environment with the reliability needs of production systems

• Excel at technical leadership and cross-functional collaboration

• Are passionate about building the data layer that enables next-generation AI capabilities

Strong candidates may also have:

• Deep expertise scaling PostgreSQL, MySQL, DynamoDB, or similar database systems

• Experience with Redis, Temporal, vector databases, or async job processing frameworks

• Experience building multi-cloud or hybrid cloud database solutions

• Knowledge of database orchestration and automation at scale

• Background at companies known for database excellence

Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure/databases expertise from any domain.

XML job scraping automation by YubHub

This is a principal software engineering role that focuses on enhancing the vector and keyword search functionality within Elasticsearch, covering the design and implementation of new search features, enhancements to existing search functionality, and resolving bugs.

Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements.

What You Will Be Doing

• Lead initiatives within Elasticsearch to produce an industry-leading search engine offering, supplying unparalleled speed and relevance in search.
• Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand. Sometimes you'll need to invent a new algorithm or data structure. Or find one and implement it. Sometimes you'll need to get close to the operating system and hardware.
• Work with a globally distributed team of experienced engineers focused on the search capabilities of Elasticsearch.
• Be an expert on Elasticsearch search relevance. You'll identify and drive improvements in this area based on your questions and your instincts.
• Work with community members from all over the world on issues and pull requests, sometimes triaging them and handing them off to other experts and sometimes handling them yourself.
• Write idiomatic modern Java -- Elasticsearch is 99.8% Java!

What You Bring

• Professional experience with search and vector databases, and you used HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale.
• You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as other features like lambdas.
• You work with a high level of autonomy, and are able to take on projects and guide them from beginning to end. This covers both technical design and working with other engineers to develop needed components.
• You're comfortable developing collaboratively. Giving and receiving feedback on code and approaches and APIs is hard! Bonus points if you've collaborated over the internet because that's harder. Double bonus points for asynchronous collaboration over the internet. That's even harder, but we do it anyway because it's the best way we know how to build software.
• You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way.
• You have excellent verbal and written communication skills. Like we said, collaborating on the internet is hard. We try to be respectful, empathetic, and trusting in all of our interactions. And we'd expect that from you too.

Bonus Points

• You've built things with Elasticsearch before.
• You've worked with open source projects and are familiar with different styles of source control workflow and continuous integration.
• You have experience designing, leading and owning cross-functional initiatives

Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below.

These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.

An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched Registered Retirement Savings Plan (RRSP) with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

The typical starting salary range for this role is: $154,000-$243,600 CAD

Additional Information - We Take Care of Our People

As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.

We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave

XML job scraping automation by YubHub

As a Software Engineer on the Databases team, you will architect and operate database systems that both enable millions of users to interact with Claude and support cutting-edge AI research.

This is a unique opportunity to tackle database challenges at unprecedented scale. You'll develop the database strategy for Anthropic, design systems that handle billions of API requests, create storage solutions that work seamlessly across GCP, AWS, and diverse deployment models, and build the reliable data layer that accelerates research experimentation.

Responsibilities:

• Drive the technical direction for database solutions used across Product and Research
• Design and implement database solutions that scale to support millions of users across Claude's product ecosystem
• Build and scale database systems through 100x+ growth while maintaining reliability and performance
• Architect data storage solutions that work seamlessly across GCP, AWS, first-party deployments, third-party deployments, and other environments
• Develop database infrastructure that serves both product and research workloads with different performance characteristics
• Partner with product and research teams to understand data requirements and build infrastructure that accelerates innovation
• Optimize database performance, reliability, and cost efficiency at massive scale
• Make critical build vs. buy decisions for database technologies

You might be a good fit if you:

• Have 10+ years of experience in a Software Engineer role, building and scaling database systems
• Have 3+ years of experience leading large scale, complex projects or teams as an engineer or tech lead
• Possess deep expertise in distributed database architectures and OLTP systems at scale
• Have successfully scaled databases through massive growth at high-growth companies
• Can balance the speed of a startup environment with the reliability needs of production systems
• Excel at technical leadership and cross-functional collaboration
• Are passionate about building the data layer that enables next-generation AI capabilities

Strong candidates may also have:

• Deep expertise scaling PostgreSQL, MySQL, DynamoDB, or similar database systems
• Experience with Redis, Temporal, vector databases, or async job processing frameworks
• Experience building multi-cloud or hybrid cloud database solutions
• Knowledge of database orchestration and automation at scale
• Background at companies known for database excellence

Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure/databases expertise from any domain.

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

Key responsibilities include:

• Creating high-quality technical videos focused on search, AI/ML, and Elasticsearch as a platform
• Exploring and explaining how Elasticsearch integrates with other tools and protocols in the ecosystems
• Prototyping and publishing sample applications showing end-to-end Search + AI use cases
• Bringing a creative twist to Elastic's content creation to keep existing users engaged and capture new audiences

Requirements include:

• A proven track record of creating highly technical and engaging videos
• Strong technical background and experience in an engineering role
• Empathy for the community to help them solve their issues, provide internal feedback to make Elastic’s products better, and fix problems where possible
• Comfortable working with a highly distributed team
• Experience working self-driven and self-organizing
• Excellent spoken and written communication skills in English

Additional benefits include competitive pay, health coverage for you and your family, ability to craft your calendar with flexible locations and schedules, generous number of vacation days each year, increase your impact through financial donations and service, and embracing parenthood with minimum of 16 weeks of parental leave.

XML job scraping automation by YubHub

To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse, open platforms that unify data warehousing and advanced analytics.

A critical part of realizing this vision is the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance, yet retain the expressiveness and of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science.

As part of this team, you will be working in one or more of the following areas to design and implement these next gen systems that leapfrog state-of-the-art:

• Query compilation and optimization
• Distributed query execution and scheduling
• Vectorized execution engine
• Data security
• Resource management
• Transaction coordination
• Efficient storage structures (encodings, indexes)
• Automatic physical data optimization

We look for:

• A passion for database systems, storage systems, distributed systems, language design, or performance optimization
• Experience working towards a multi-year vision with incremental deliverables
• Motivated by delivering customer value and impact
• 5+ years of experience working in a related system (preferred)

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.

Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

Based on the factors above, Databricks anticipates utilizing the full width of the range.

The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

For more information regarding which range your location is in visit our page here.

Local Pay Range $166,000-$225,000 USD

XML job scraping automation by YubHub

To be successful in this role, you'll need a PhD in databases or systems, a passion for database systems, storage systems, distributed systems, language design, and/or performance optimisation, and be motivated by delivering customer value and impact.

The pay range for this role is $140,000-$180,000 USD, and the total compensation package may also include eligibility for annual performance bonus, equity, and benefits.

XML job scraping automation by YubHub

As part of a global AI engineering team spanning the US and India, you'll provide technical leadership, write hands-on code, and mentor peers while shaping platform capabilities that empower applied AI use cases across Okta.

Responsibilities:

• Design and develop platform services for AI agents, including orchestration, lifecycle management, observability, and guardrails.
• Collaborate daily with US counterparts to align on architecture, share roadmaps, and ensure global consistency.
• Build scalable APIs, frameworks, and reusable components that enable teams to rapidly create and deploy secure AI agents.
• Contribute to monitoring, evaluation, and governance features that make AI adoption safe, reliable, and enterprise-ready.
• Partner with Applied AI engineers, product managers, and designers to ensure the platform supports real-world use cases.
• Mentor engineers within the India team, raising the bar on technical craftsmanship and platform design.
• Stay current with advances in agentic AI, orchestration frameworks, and enterprise AI infrastructure.

Requirements:

• 8+ years of software engineering experience, with at least 3+ years in AI/ML platforms or intelligent automation.
• 5+ years in modern frontend frameworks (e.g., React, Vue) with the ability to build functional UI components, integrate APIs, and maintain design consistency.
• Knowledge on Python preferred, Java, Node.js, or Go.
• Expertise in AI agent frameworks (LangGraph preferred), orchestration systems, vector databases, RAG pipelines, and monitoring/observability.
• Strong background in distributed systems, APIs, microservices, container orchestration (ECS/EKS), and cloud platforms (AWS/GCP/Azure).
• Experience building secure, enterprise-grade infrastructure for AI or ML workloads.
• Ability to influence architecture decisions, align with a global team, and set technical direction locally.
• Strong communication and collaboration skills to work effectively across time zones and global teams.

XML job scraping automation by YubHub

Our mission at Databricks is to simplify the data lifecycle from ingestion to ETL, BI, and ML/AI with a unified platform. We believe the data warehouse architecture will be replaced by a new architectural pattern, Lakehouse, which unifies data warehousing and advanced analytics.

The new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support. To achieve this vision, we are building a decoupled query engine and structured storage system that can outperform specialized data warehouses in relational query performance.

As a Staff Software Engineer, you will design these next-generation systems that leapfrog state-of-the-art within the following areas:

• Query compilation and optimization
• Distributed query execution and scheduling
• Vectorized execution engine
• Data security
• Resource management
• Transaction coordination
• Efficient storage structures (encodings, indexes)
• Automatic physical data optimization

Your responsibilities will include driving requirements clarity and design decisions for ambiguous problems, producing technical design documents and project plans, developing new features, mentoring more junior engineers, testing and rolling out to production, and monitoring.

We look for a passion for database systems, storage systems, distributed systems, language design, or performance optimization. You should be comfortable working towards a multi-year vision with incremental deliverables, be customer-oriented and focused on having an impact, and have 7+ years of experience working in a related system. A PhD in databases or distributed systems is optional.

XML job scraping automation by YubHub

In this role, you will serve as a guardian of our codebase through implementation, rigorous peer reviews, automated testing, and comprehensive deployment support, ensuring the architectural integrity of our environments.

Key Responsibilities:

Technical Implementation: Lead the translation of user stories into robust, scalable technical designs. Responsible for the end-to-end execution of features, ensuring alignment with organisational standards.

Solution Design and Architecture: Architect and design secure, scalable solutions by translating complex business requirements into technical specifications and solution designs that leverage the Salesforce platform, particularly within the Sales and CPQ domains.

Quality Assurance and Testing: Ensure 100% unit test coverage for all new logic. Build and maintain an automated test regression suite to minimise manual overhead and proactively identify regressions.

Code and Peer Mentorship: Conduct thorough Pull Request (PR) reviews, providing constructive feedback to junior and mid-level developers to maintain code quality and consistency.

Deployment and Release Support: Manage the deployment cycle, including documenting all changes, securing necessary Jira approvals, resolving environment-specific test issues, and performing final validation in Production.

Global Collaboration & Ownership: Demonstrated strong ownership and the ability to communicate effectively and collaborate seamlessly with cross-functional, global teams and stakeholders.

Required Qualifications:

Salesforce Development Expertise (5+ years): Proven proficiency in Salesforce development, including Apex, Process/Flow Automations, and Lightning Web Components (LWC).

Software Development Acumen (3+ years): Strong background in general software engineering principles, with significant experience in Java, Python, or JavaScript.

Domain Specific Knowledge: In-depth knowledge and practical experience within Sales Cloud and Configure, Price, Quote (CPQ) domains are essential.

Advanced AI Agent Frameworks & Data Processing: Expertise in modern AI agent or agentforce frameworks, orchestration techniques, Retrieval-Augmented Generation (RAG) pipelines, and advanced vector search methodologies.

CI/CD Pipeline Proficiency: Hands-on experience with continuous integration and continuous deployment (CI/CD) pipelines, specifically utilising Jenkins and Salesforce DX (SFDX) for efficient development and release.

Secure Salesforce Solution Development: Deep understanding and practical application of Salesforce security features, adherence to data privacy regulations, and implementation of best practices for secure solution development.

Communication, & Problem-Solving: Possesses excellent communication and robust problem-solving abilities. Capable of independently driving technical direction, mentoring team members, fostering collaboration, and effectively managing all project aspects.

Preferred Qualifications (Extra Credit):

Salesforce certifications, such as Platform Developer I/II, CPQ Administrator, Application Architect, or Technical Architect.

Experience designing or implementing advanced Salesforce DevOps practices.

Previous work in a high-growth, SaaS, fast-paced technology company.

The annual base salary range for this position for candidates located in Poland is between 225 000 zł-330 000 zł PLN.

Okta offers equity (where applicable), bonus, and comprehensive healthcare coverage and financial benefits including paid time off and parental leave in accordance with our applicable plans and policies.

XML job scraping automation by YubHub

The Payments AI/ML Foundation team builds the shared platforms, services, and guardrails that enable product and data teams across Airbnb Payments to deliver trustworthy, efficient, and scalable AI capabilities.

As a Senior Software Engineer on Payments AI/ML Foundation, you will:

• Design and own core platform components that power AI across Airbnb Payments
• Partner with product, infra, data science, and operations to translate ambiguous requirements into robust systems with clear SLAs
• Build tooling and automation that makes AI development safer and faster
• Raise the bar on reliability, performance, and governance for models and agents in production

A typical day for this role will involve envisioning, championing, and supporting the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems.

You will work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for AI/ML models, drive engineering decisions, and quantify impact.

Hands-on productionize and operate AI/ML solution and pipelines at scale, including both batch and real-time use cases.

Lead, mentor, challenge and grow enthusiastic, collaborative AI/ML culture within the organization.

Your expertise should include:

• A degree in Computer Science or equivalent qualification
• 7+ years of industry experience in backend/platform engineering (or equivalent), including ownership of production systems
• Strong programming skills in Python, plus solid data engineering foundations
• Good to have experience with AI frameworks (Langraph, Strand etc), orchestration (Airflow/Kubeflow), and streaming/processing (Kafka/Spark/Ray)
• Proven track record building observability for AI systems (metrics/logging/traces), with automated alerting, dashboards, and SLO management
• Experience designing model governance and safety guardrails (prompt/version control, red-teaming, policy checks, approvals)
• Demonstrated ability to drive performance/cost optimizations (profiling, batching, caching, quantization, autoscaling) in high-traffic environments
• Practical familiarity with vector search/embedding pipelines (indexing strategies, consistency, reindexing, retention)

Our commitment to inclusion and belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions.

All qualified individuals are encouraged to apply.

XML job scraping automation by YubHub

With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen–fast.

The Opportunity:

ZoomInfo built the industry's most sophisticated GTM data acquisition infrastructure. Now we're applying that same rigor to context engineering,the emerging discipline that determines whether AI systems deliver transformative value or incremental improvement.

This role architects the context layer powering our AI intelligence across Copilot, GTM Studio, and MarketingOS. You'll transform how ZoomInfo's agentic workflows access, compress, and deliver precisely the right information at exactly the right moment.

The impact is organization-wide: every AI interaction, every intelligent recommendation, every autonomous agent action depends on the context infrastructure you’ll build.

We've transitioned to AI-first product thinking company-wide. The context pipelines exist but remain nascent,creating a rare opportunity to define architectural patterns and platform standards that compound value across multiple product teams in the years to come.

What You'll Do:

Architect Context Acquisition Pipelines

Design and optimize how ZoomInfo retrieves, transforms, and delivers context from our semantic data layer, memory systems, and data producers. You'll balance retrieval quality against latency and cost constraints, implementing hybrid search strategies, intelligent caching, and context compression techniques that maintain information density while respecting token budgets.

Own the Context Layer Platform

Build infrastructure serving multiple product teams,Copilot, GTM Studio, MarketingOS,as internal customers. Establish API contracts, developer experience standards, and integration patterns that accelerate feature velocity.

Maintain the delicate balance between providing flexible building blocks and opinionated solutions that encode best practices.

Drive Quality Through Measurement

Implement evaluation frameworks using RAGAS metrics and custom benchmarks. Monitor retrieval precision, context relevance, hallucination rates, and system performance in production.

Translate quality signals into architectural improvements, working closely with ML engineers to iterate on embedding models, reranking strategies, and retrieval algorithms.

Navigate Emerging Research

Context engineering evolves weekly. You'll continuously evaluate innovations,GraphRAG for multi-hop reasoning, test-time compute scaling, multimodal retrieval, compression techniques,determining which advances warrant production investment versus which remain academic curiosities.

Bring external best practices to ZoomInfo while contributing learnings back to the broader community.

Orchestrate Cross-Functional Execution

Translate between three distinct worlds: ML engineers optimizing retrieval algorithms, platform engineers building scalable infrastructure, and product teams shipping customer features.

Establish communication cadences, prioritization frameworks, and decision-making processes that balance urgent requests against strategic platform development.

What You’ll Bring:

• 4-6 years of product management experience with 2+ years in ML/AI infrastructure

• Direct experience with production RAG systems, vector databases, or semantic search, context management

• Experience with graph databases (e.g. Neo4j)

• Track record building platform products serving multiple internal or external customers

• Familiarity with context compression, embedding models, and retrieval evaluation frameworks

• History of defining product vision in nascent technical domains where best practices are still emerging

Who You Are:

Technical Foundation

Expert-level understanding of RAG system architecture,you can discuss embedding dimensionality trade-offs, vector database indexing strategies, and reranking approaches with depth.

You've built or significantly contributed to production retrieval systems, not just managed them at arm's length.

Python and SQL proficiency enables you to review code, analyze retrieval issues, and prototype solutions for concept validation.

Platform Product Mindset

Experience building infrastructure products where internal engineering teams are your customers.

You measure success through downstream product velocity improvements and developer satisfaction scores, not just uptime metrics.

You understand platform economics,how each additional team using your infrastructure increases its value through shared learnings and amortized costs.

Intellectual Velocity

You read recent research papers from arXiv, ACL, NeurIPS.

You prototype emerging techniques to understand their practical constraints.

You maintain strong opinions weakly held, updating your architectural assumptions as evidence accumulates.

The discipline moves too fast for static expertise,continuous learning is non-negotiable.

Strategic Communication

You translate between technical depth and business impact fluently.

You can explain to executives why implementing GraphRAG takes 6 months but unlocks $10M in product capabilities.

You can communicate to engineers why business constraints require shipping 'good enough' in 3 weeks rather than 'optimal' in 3 months.

You influence without formal authority through data, clear reasoning, and earned credibility.

The Environment:

Reporting & Collaboration

Report to the Senior Product Director for Context Engineering, Semantic Data Layer, and Agentic Memory within ZoomInfo's Intelligence team.

Work alongside PMs responsible for signals and ML scoring/recommendation models.

Together, you ensure our agentic workflows fill context windows with high-quality, information-dense content exactly when needed.

Pace & Problems

Fast-moving engineering team that understands the space.

Company-wide AI adoption push creates both urgency and opportunity.

Expect interesting problems: How do we maintain sub-200ms retrieval latency at scale?

When does GraphRAG justify its indexing cost?

How do we balance context freshness with cache efficiency?

You'll shape answers that become architectural patterns across the organization.

Impact

Define a nascent discipline at a company that's already AI-first in product thinking and organizational structure.

Your architectural decisions compound,every improvement to context quality multiplies across Copilot, GTM Studio, MarketingOS, and future products we haven't imagined yet.

This is infrastructure work with direct line-of-sight to customer value.

#LI-PS1 #LI-remote

XML job scraping automation by YubHub

To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse (CIDR 2021 paper), open platforms that unify data warehousing and advanced analytics.

A critical part of realizing this vision is the next generation (decoupled) query engine and structured storage system that can outperform specialised data warehouses in relational query performance, yet retain the expressiveness and of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science.

As part of this team, you will be working in one or more of the following areas to design and implement these next gen systems that leapfrog state-of-the-art:

• Query compilation and optimisation
• Distributed query execution and scheduling
• Vectorised execution engine
• Data security
• Resource management
• Transaction coordination
• Efficient storage structures (encodings, indexes)
• Automatic physical data optimisation

We look for:

• A passion for database systems, storage systems, distributed systems, language design, or performance optimisation
• Experience working towards a multi-year vision with incremental deliverables
• Motivated by delivering customer value and impact
• 8+ years of experience working in a related system (preferred)

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.

Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

Based on the factors above, Databricks anticipates utilising the full width of the range.

The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

For more information regarding which range your location is in visit our page here.

Local Pay Range $192,000-$260,000 USD

XML job scraping automation by YubHub

As a Staff Software Engineer for Search Quality, you will drive the technical direction of ranking, relevance, evaluation, and quality initiatives across Databricks' next-generation Search product. You'll design and build the systems, models, and evaluation frameworks that ensure our Search stack delivers accurate, high-quality results across diverse multimodal datasets and query patterns.

The impact you will have:

• Lead the technical vision for Search Quality, shaping the ranking architecture, relevance modeling stack, and evaluation systems that power Databricks' next-generation retrieval experiences.

• Identify and solve challenges in ranking, query understanding, and hybrid retrieval , advancing state-of-the-art techniques in vector, keyword, and multimodal search.

• Design and train production-ready ranking and reranking models with strong guarantees around quality, latency, and resource efficiency.

• Partner closely with research, product, and infra teams to define metrics, evaluation methodologies, and experimentation strategies for new retrieval features and model architectures.

• Drive end-to-end engineering efforts , from early prototyping to production rollout , ensuring correctness, reliability, and measurable improvements to relevance.

• Build and operate resilient, low-latency services for ranking, evaluation, and relevance signal processing.

• Champion excellence in ML and search engineering, mentoring teammates and elevating design, code quality, and scientific rigor across the team.

• Shape Databricks' long-term roadmap for retrieval quality, ranking infrastructure, and the foundations for retrieval-driven AI products.

What we look for:

• 10+ years of experience building large-scale search, ranking, recommendation, or ML-driven relevance systems.

• Deep expertise in Search Quality, including ranking models, signals, query understanding, and evaluation methodologies.

• Strong understanding of relevance metrics and evaluation frameworks.

• Familiarity with vector search, keyword search, hybrid retrieval, and embedding-based semantic retrieval.

• Solid foundation in algorithms, data structures, and system design for performance-critical ranking and retrieval systems.

• Proven ability to deliver high-impact technical initiatives with clear business or product outcomes.

• Strong communication skills and ability to collaborate across teams in fast-moving environments.

• Strategic and product-oriented mindset with the ability to align technical execution with long-term vision.

• Passion for mentoring, growing engineers, and fostering technical excellence.

XML job scraping automation by YubHub

This is a principal software engineering role that focuses on enhancing the vector and keyword search functionality within Elasticsearch, covering the design and implementation of new search features, enhancements to existing search functionality, and resolving bugs.

As a Principal Software Engineer, you will lead initiatives within Elasticsearch to produce an industry-leading search engine offering, supplying unparalleled speed and relevance in search. You will contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand. Sometimes you'll need to invent a new algorithm or data structure. Or find one and implement it. Sometimes you'll need to get close to the operating system and hardware.

You will work with a globally distributed team of experienced engineers focused on the search capabilities of Elasticsearch. You will be an expert on Elasticsearch search relevance. You'll identify and drive improvements in this area based on your questions and your instincts.

You will work with community members from all over the world on issues and pull requests, sometimes triaging them and handing them off to other experts and sometimes handling them yourself. You will write idiomatic modern Java -- Elasticsearch is 99.8% Java!

Professional experience with search and vector databases, and you used HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale. Strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as other features like lambdas. You work with a high level of autonomy, and are able to take on projects and guide them from beginning to end. This covers both technical design and working with other engineers to develop needed components.

You're comfortable developing collaboratively. Giving and receiving feedback on code and approaches and APIs is hard! Bonus points if you've collaborated over the internet because that's harder. Double bonus points for asynchronous collaboration over the internet. That's even harder, but we do it anyway because it's the best way we know how to build software.

You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way. Excellent verbal and written communication skills. Like we said, collaborating on the internet is hard. We try to be respectful, empathetic, and trusting in all of our interactions. And we'd expect that from you too.

Bonus points if you've built things with Elasticsearch before. You've worked with open source projects and are familiar with different styles of source control workflow and continuous integration. You have experience designing, leading and owning cross-functional initiatives.

Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is $159,800-$252,800 USD. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below.

Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

XML job scraping automation by YubHub

You will join a team that ships products used by thousands of the world's most sophisticated data and AI organizations. You will drive the vision and roadmap for AI platform product areas and define how customers build, train, deploy, and monitor AI and ML systems on Databricks. You will collaborate across engineering teams to deliver an integrated and powerful path from experimentation to production.

The impact you will have:

• Own the product roadmap for AI platform areas , defining what we build, why, and in what order , to accelerate customer adoption of AI and ML in production.
• Drive strategy for key AI platform capabilities, shaping how enterprises operationalize AI at scale.
• Partner closely with engineering teams to make deeply technical decisions about ML infrastructure , from distributed training architectures to real-time serving systems.
• Represent the voice of the customer by engaging directly with enterprise ML teams, translating their pain points and workflows into platform capabilities that simplify the path to production AI.
• Collaborate with GTM, Solutions Architecture, and Customer Success teams to drive enterprise adoption, shape field enablement, and inform competitive positioning.
• Define pricing, packaging, and commercialization strategy for AI platform features, working with business teams to maximize value capture.
• Grow end-user engagement with Databricks AI tools by identifying adoption bottlenecks and partnering cross-functionally to remove them.

XML job scraping automation by YubHub

This is a principal software engineering role that focuses on enhancing the vector and keyword search functionality within Elasticsearch, covering the design and implementation of new search features, enhancements to existing search functionality, and resolving bugs.

Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements.

As a Principal Software Engineer, you will lead initiatives within Elasticsearch to produce an industry-leading search engine offering, supplying unparalleled speed and relevance in search. You will contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand. Sometimes you'll need to invent a new algorithm or data structure. Or find one and implement it. Sometimes you'll need to get close to the operating system and hardware.

You will work with a globally distributed team of experienced engineers focused on the search capabilities of Elasticsearch. You will be an expert on Elasticsearch search relevance. You'll identify and drive improvements in this area based on your questions and your instincts.

You will work with community members from all over the world on issues and pull requests, sometimes triaging them and handing them off to other experts and sometimes handling them yourself. You will write idiomatic modern Java -- Elasticsearch is 99.8% Java!

We're looking for someone with professional experience with search and vector databases, and you used HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale. You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as other features like lambdas.

You work with a high level of autonomy, and are able to take on projects and guide them from beginning to end. This covers both technical design and working with other engineers to develop needed components. You're comfortable developing collaboratively. Giving and receiving feedback on code and approaches and APIs is hard! Bonus points if you've collaborated over the internet because that's harder. Double bonus points for asynchronous collaboration over the internet. That's even harder, but we do it anyway because it's the best way we know how to build software.

You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way. You have excellent verbal and written communication skills. Like we said, collaborating on the internet is hard. We try to be respectful, empathetic, and trusting in all of our interactions. And we'd expect that from you too.

Bonus points if you've built things with Elasticsearch before. You've worked with open source projects and are familiar with different styles of source control workflow and continuous integration. You have experience designing, leading and owning cross-functional initiatives.

At Elastic, we strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. We offer competitive pay based on the work you do here and not your previous salary. We provide health coverage for you and your family in many locations. We allow you to craft your calendar with flexible locations and schedules for many roles. We offer generous vacation days each year. We increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service. We provide up to 40 hours each year to use toward volunteer projects you love. We embracing parenthood with minimum of 16 weeks of parental leave.

XML job scraping automation by YubHub

To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse, open platforms that unify data warehousing and advanced analytics.

A critical part of realizing this vision is the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance, yet retain the expressiveness and of general purpose systems such as Apache Spark to support diverse workloads ranging from ETL to data science.

As part of this team, you will be working in one or more of the following areas to design and implement these next gen systems that leapfrog state-of-the-art:

• Query compilation and optimization
• Distributed query execution and scheduling
• Vectorized execution engine
• Data security
• Resource management
• Transaction coordination
• Efficient storage structures (encodings, indexes)
• Automatic physical data optimization

We look for individuals with a passion for database systems, storage systems, distributed systems, language design, or performance optimization. You should have experience working towards a multi-year vision with incremental deliverables, motivated by delivering customer value and impact.

The pay range for this role is $192,000-$260,000 USD, and the total compensation package may also include eligibility for annual performance bonus, equity, and benefits.

XML job scraping automation by YubHub

Location: Remote-USA

The Payments team at Airbnb is responsible for everything related to settling money in Airbnb's global marketplace. As a Senior Machine Learning Engineer for Payments, you will be the catalyst that transforms bold AI innovation into production systems that make Airbnb Payment experience feel effortless and secure.

Responsibilities:

• Spearhead LLM agents, real-time anomaly detectors, and other breakthrough solutions that solve real-world problems and create product magic.

• Collaborate with product, engineering, ops, and data science to spot high-leverage opportunities, refine AI/ML requirements, make principled architecture choices, and measure business value with clear, data-driven metrics.

• Design, train, deploy, and operate large-scale AI applications for both batch and streaming workloads, ensuring low latency, high reliability, and continuous improvement via automated monitoring and retraining loops.

• Mentor and inspire teammates, fostering a collaborative, experimentation-driven environment where cutting-edge research meets production excellence and every engineer is empowered to push AI boundaries at Airbnb.

Your Expertise:

• 5+ years of industry experience in applied AI/ML, inclusive MS or PhD in relevant fields.

• Strong programming (Python/Java) and data engineering skills.

• Proven mastery of modern AI/LLM workflows , prompt engineering, fine-tuning (LoRA, RLHF), hallucination mitigation, safety guardrails, and rigorous online/offline testing to minimize training/inference drift and ensure reliable outcomes.

• Hands-on experience with at least three of the following: PyTorch/TensorFlow, scalable inference stacks, vector search, orchestration/MLOps platforms (Kubeflow, Airflow), large-scale data streaming & processing (Spark, Ray, Kafka).

• Demonstrated success designing, deploying, and monitoring production AI systems , e.g., personalization engines, generative content services , complete with drift/cost/latency monitoring, automated retraining triggers, and cross-functional collaboration that translates ambiguous business needs into measurable AI impact.

• Prior knowledge of AI/ML applications in the Payments domain is highly desirable.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively led people, and to develop the best products, services, and solutions.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs, and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range: $191,000-$223,000 USD

XML job scraping automation by YubHub

This role sits at the intersection of sales execution, technical fluency, and cross-functional collaboration,and is critical to our growth in the Enterprise segment.

Key Responsibilities:

Own your territory & build pipeline: Develop and execute a proactive outbound cadence (email, call, social) that generates ≥50 % of your booked opportunities.

Deep discovery & qualification: Uncover pain, business impact, budget, and decision criteria using frameworks like MEDDPICC so you chase only the highest-confidence deals.

Value storytelling & demos: Craft and deliver tailored narratives and live demos that map Elastic’s Search, Observability, and Security capabilities to measurable business outcomes.

Mutual deal strategy & forecast accuracy: Collaborate with customers to build formal close plans and keep your CRM up-to-date, maintaining ≥90 % forecast accuracy within ±10 %.

Executive negotiation & closing: Lead high-stakes contract and pricing discussions,defend your value, structure give/get trades, and land multi-year consumption commitments.

Domain & cloud acumen: Position Elastic as the Search AI platform of choice by speaking fluently about cloud economics, usage-based pricing, and modern data architectures.

Cross-functional partnership: Work hand-in-glove with Solutions Architects, Customer Success, Marketing, and RevOps to accelerate deals and drive exceptional customer outcomes.

Requirements:

Proven SaaS quota-carrying success: 5+ years closing complex Enterprise deals, consistently overachieving targets in a consumption-based or usage-model environment.

Expert discovery & qualification skills: Demonstrated ability to apply MEDDPICC or equivalent frameworks to drive disciplined pipeline and eliminate low-probability deals.

Compelling value storytellers: Track record of delivering executive-level presentations and demos that tie product capabilities to real dollars saved, revenue gained, or risk mitigated.

Strong negotiation chops: History of landing multi-year, high-ACV contracts while protecting margin and securing executive stakeholder buy-in.

Technical & cloud fluency: Comfortable discussing a broad range of technical topics including observability, security, vector/traditional search, and cloud cost optimization.

Collaborative mindset & coachability: A learner who partners effectively with internal teams, incorporates feedback, and embodies Elastic’s values of community and openness.

Open Source enthusiasm: Genuine appreciation for open-source communities and the Elastic model,bonus if you’ve sold or advocated in an OSS context.

Bonus Points:

Prior experience at an open-source or developer-centric infrastructure company.

Familiarity with observability (logs, metrics, traces) or security analytics (SIEM/XDR) use cases.

If you’re driven to build your own pipeline, master complex deal cycles, and help customers unlock the power of Search AI, we’d love to talk. Apply today!

XML job scraping automation by YubHub

At Elastic, our solutions are tailored to provide Observability, Cybersecurity, and Search AI, and we need a leader who is technically adept and can drive our teams to ensure our customers derive the most value from our offerings.

In this leadership position, the ideal candidate is a unique blend of a people-focused, business-driven, and technically-savvy leader. You will directly lead all aspects of a high performing team of Customer Architects.

Having an intimate understanding of our technical solutions is crucial to empathize with your team's challenges and derive strategic solutions.

The Director of Customer Engineering plays a pivotal role in representing Elastic at the forefront.

Given the intrinsic technical nature of our offerings, it's crucial for the Director to be proficient in the intricacies of our solutions, ensuring they can effectively communicate their value and drive consumption.

This role requires frequent face-to-face engagements, making it essential for the candidate to excel at in-person presentations, discussions, and building strong relationships rooted in technical trust.

With the need to partner with a wide array of customers, travel becomes inherent to this role. Candidates should be primed for 25% travel, geared towards promoting and amplifying the consumption of our Elastic solutions across the Americas.

Responsibilities

• Leadership: Lead and mentor Customer Architects, encouraging a culture of collaboration, innovation, and customer-centricity.

• Technical Acumen: Serve as the technical pillar of leadership, ensuring that the region's strategies align with the technical nuances of our solutions. A background in sales engineering leadership is beneficial.

• Strategic Planning: Employ both urgent and strategic approaches to address critical situations, instilling processes that address challenges at scale. Ensure that teams in the region are geared towards helping customers realize value and driving consumption.

• Market Knowledge: Leverage your experience with distributed datastores, and areas such as observability, cybersecurity, or search to bring depth to the team's understanding of the market. Experience in Vectors, Machine Learning, and GenAI will be an added advantage.

• Collaboration: Work in tandem with regional sales leaders, account teams, and other stakeholders to ensure seamless communication and alignment of objectives.

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field highly preferred.

• Proven experience leading teams centered on consumption.

• Technical expertise in distributed datastores, and areas like observability, cybersecurity, or search. Familiarity with Elastic solutions will be a significant advantage.

• Familiarity or experience in the realms of Vectors, Machine Learning, and GenAI.

• Strong interpersonal and communication skills, with the ability to articulate complex technical concepts to a varied audience.

• Ability to balance urgency with strategic planning, ensuring teams are always aligned with company and customer objectives.

Compensation

Compensation for this role is in the form of base salary plus a variable component, that together comprise the On-Target Earnings (OTE).

On-Target Earnings (OTE) are based on a 70/30 pay mix (base salary / target variable).

The typical starting OTE range for new hires in this role is listed below. This range represents the lowest to highest OTE we reasonably and in good faith believe we would pay for this role at the time of this posting.

We may ultimately pay more or less than the posted range, and the range may be modified in the future.

An employee's position within the OTE range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders.

Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program.

Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

The typical starting salary range for this role is: $161,300-$255,100 USD

The typical starting Target Variable range for this role is: $69,000-$109,200 USD

The typical starting On-Target Earnings (OTE) range for this role is: $230,300-$364,300 USD

XML job scraping automation by YubHub

You will collaborate closely with our technical teams to support the development and refinement of new AI capabilities, with a particular emphasis on quantitative trading domains.

Your expertise will help select and solve challenging problems in systematic and quantitative strategies , including statistical arbitrage, factor investing, market microstructure modeling, high-frequency / execution algorithms, risk premia harvesting, machine learning-based alpha generation, and portfolio optimisation under realistic constraints.

This role requires strong analytical thinking, rapid adaptation to evolving guidelines, and the ability to provide rigorous, technically sound critiques and solutions in a fast-moving environment.

As a Quantitative Trader, you will directly contribute to xAI's mission by helping train and refine our frontier AI models.

You will teach the models how quantitative traders reason, model markets, evaluate signals, manage risk, and interact with complex financial data and systems.

This involves providing high-quality data in various formats (text, voice, video), writing detailed annotations, critiquing model outputs, recording audio explanations, and occasionally participating in structured video sessions.

We are looking for individuals who are enthusiastic about these data-generation activities, as they form a core part of advancing xAI’s goals in scientific discovery and real-world reasoning.

Quantitative Traders provide labeling, annotation, evaluation, and expert reasoning services across text, voice, and video data modalities to support model training and evaluation.

The role may include recording audio responses, participating in video-based tasks, or producing step-by-step quantitative reasoning traces , all of which are essential job functions required to fulfill xAI’s mission.

All outputs are considered work-for-hire and owned by xAI.

XML job scraping automation by YubHub

xAI is seeking a Manager, Safety Operations to oversee the processing of appeals and ensure proper labeling of use cases in the system.

Responsibilities

• Guide the team's use of proprietary software to provide labels, annotations, and inputs on projects involving safety protocols, risk scenarios, and policy compliance.
• Ensure the delivery of high-quality curated data that reinforces xAI's rules and ethical alignment.
• Mentor team members, conduct performance management and calibration, drive feedback on tasks that improve AI's defenses to detect illegal and unethical behavior, identify emerging abuse vectors, and implement process improvements and automations.
• Align Grok with our rules enforcement while collaborating cross-functionally to strengthen overall safety operations.

Basic Qualifications

• Proven leadership and people management experience in AI-driven operations, with a track record of developing high-performing teams.
• Expertise in improving Large Language Models (LLMs) to maximize efficiencies in enforcement and support and ability to propose and implement solutions to increase security and safety of our platform.
• Proven experience in online safety and reducing harm to protect our users and preserve Free Speech in the global public square.
• Ability to interpret, apply, and train teams on xAI safety policies effectively.
• Proficiency in analyzing complex scenarios and operational metrics, with strong skills in ethical reasoning, risk assessment, and team performance optimization.
• Strong ability to utilize resources, guidelines, and frameworks for accurate safety-focused actions, escalations, and talent development.
• Strong leadership, communication, interpersonal, analytical, and ethical decision-making skills.
• Quality assurance: Ability to hold the team to our high standard for quality work; managing performance as needed.
• Commitment to continuous improvement of processes, people, and operations to prioritize safety and risk mitigation.
• Expertise in data analysis to identify emerging abuse vectors, uncover opportunities for operational efficiencies, and design automations that strengthen enforcement effectiveness and platform safety.

Preferred Skills and Experience

• Experience managing teams in Trust and Safety for a social media company, leveraging AI or other automation tools.
• Expertise in leading red-teaming and adversarial testing of Large Language Models to proactively identify novel abuse vectors, jailbreaks, and safety failure modes, with a proven ability to translate findings into concrete improvements for enforcement systems, team processes, and platform robustness.

XML job scraping automation by YubHub

Responsibilities

• Monitor and analyse security alerts and logs to identify potential threats and anomalies
• Develop, implement, and maintain detection rules and correlation logic in our SIEM platform
• Conduct thorough investigations of security incidents, performing root cause analysis and impact assessments
• Lead incident response efforts, coordinating with relevant teams to contain and mitigate threats
• Create and maintain incident response playbooks and runbooks
• Perform regular threat hunting activities to proactively identify potential security risks
• Develop and refine metrics and reporting to track the effectiveness of detection and response capabilities
• Collaborate with other security teams to improve overall security posture and incident handling processes
• Stay current with emerging threats, attack techniques, and defensive strategies in the cloud-native and AI domains

Basic Qualifications

• Bachelor's degree in Computer Science, Cybersecurity, or a related field
• 3-5 years of experience in security operations, incident response, or a similar role
• Strong understanding of cybersecurity principles, attack techniques, and defensive strategies
• Proficiency in at least one scripting language (e.g., Python, Rust) for automation and tool development
• Experience with SIEM platforms and log analysis tools
• Familiarity with cloud environments (e.g., AWS, GCP, Azure) and their security features
• Knowledge of network protocols, system administration, and common attack vectors
• Strong analytical and problem-solving skills with attention to detail
• Excellent communication skills and ability to work effectively under pressure

Preferred Skills and Experience

• Relevant security certifications (e.g., GCIH, GCIA, SANS)
• Experience with threat intelligence platforms and their integration into detection processes
• Familiarity with AI/ML security implications, particularly those outlined in the OWASP LLM Top 10
• Knowledge of software supply chain security and SBOM analysis
• Experience with containerized environments and Kubernetes security
• Experience in building custom security tools or integrations to enhance detection and response capabilities
• Interest in leveraging AI to improve threat detection and automate response processes
• Contributions to open-source security projects or threat research
• Experience with digital forensics and malware analysis

Compensation and Benefits

$200,000 - $340,000 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

In this role, you will shape the propulsion test strategy, direct complex engine and hover test campaigns, and provide technical leadership across the program to ensure safe and rapid development of a next-generation autonomous aircraft.

The ideal candidate brings deep expertise in jet propulsion testing, developmental flight test operations, to include mission control room operations, and high-energy ground testing.

You will work closely with propulsion engineers, flight test teams, autonomy developers, instrumentation specialists, and safety organizations to define test objectives, assess risk, and deliver the data required to advance the aircraft through its test envelope.

This is a high-impact role for a technical leader who thrives in fast-paced, experimental environments and who wants to help define the future of autonomous aviation.

Responsibilities:

• Support engine, hover, static, and integrated propulsion test campaigns for X-BAT including planning, execution, and post-test analysis.
• Advise on propulsion system readiness and define test objectives, test point development, build up approach, success criteria, and instrumentation requirements.
• Develop and review test procedures, hazard analyses, run cards, and safety documentation for high-energy test operations.
• Provide technical oversight during engine runs, hover tests, transition testing, and propulsion-autonomy integration events.
• Serve as a propulsion subject-matter expert during Test Readiness Reviews (TRRs), Test Hazard Analyses (THAs), and Operational Risk Management (ORM) assessments
• Support root-cause investigations related to propulsion performance, engine controls, thermal behavior, vibration, and integration issues.
• Partner with Autonomy and Avionics teams to evaluate propulsion-related interactions such as thrust control logic, response lags, fail-safes, and emergency behaviours.
• Collaborate with Instrumentation Engineering to ensure data quality, test post process analysis, reporting, timing, and fidelity across propulsion channels.
• Support field deployments, remote test sites, and intensive test cycles as required to meet program schedules.

Qualifications:

• Bachelor's degree in Aerospace Engineering, Mechanical Engineering, or related technical discipline.
• 8+ years of experience in propulsion testing for jet engines, VTOL systems, unmanned aircraft, or developmental flight test programs.
• Demonstrated expertise executing and analysing engine tests, hover/transition events, and integrated propulsion-airframe testing.
• Strong understanding of engine controls, FADEC systems, thrust measurement, thermal analysis, and vibration/loads behaviour.
• Experience writing and reviewing high-energy test procedures, readiness documentation, and hazard analyses.
• Proven ability to operate safely and decisively in fast-paced test environments.
• Excellent communication skills and demonstrated performance in multidisciplinary engineering organisations.
• Ability to travel and support extended field test deployments.

Preferred Qualifications:

• Master's degree or higher in Aerospace or Mechanical Engineering.
• Experience with tail-sitter, VTOL, or thrust-vectoring propulsion systems.
• Background in autonomy-powered aircraft, propulsion-system modelling, or propulsion-flight-control integration.
• Familiarity with IRIG, PCM, instrumentation requirements, and high-rate telemetry data.
• Experience supporting complex investigations or leading propulsion technical review boards.
• Prior involvement in developmental or experimental flight test programmes.
• Experience with compressed-air starts, engine-health monitoring systems, or high-temperature structural analysis.

XML job scraping automation by YubHub

We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid's network covers 12,000 financial institutions across the US, Canada, UK and Europe.

The AI Applications Team You will have the opportunity to join as one of the founding members of this newly formed team that is dedicated to consolidating and rapidly scaling our successful bets so far, and grow with the team in our quest to accelerate Plaid's transformation into an AI-first company.

In this role you will lead projects that enable and scale our business with our largest AI customers and partners, starting with personal finance use cases and expanding into many others; examples include:

• Develop and evolve the preferred integration pattern for Plaid with AI providers - from API adaptations to building the official Plaid MCP Servers, and beyond

• Redefine how Plaid's consumer link experience embed into conversational interfaces in the most seamless way

• Architect the trust layer for the future of agentic commerce that will become the industry standard

Additionally you will be expected to scale and extend our existing successful bets on AI-powered customer experience; examples include:

• Make the next step-function improvement in our homegrown customer support agent

• Land our multi-turn and multi-agent system that powers a truly delightful experience for our customers; define how to scalably run offline evaluation for complex multi-turn open-ended tasks; research and prototype how Human-In-The-Loop - Reinforcement Learning (RLHF) can power an insights flywheel; pioneer the architecture for customer-specific long-term memory, etc.

• Extend our agentic system to support other critical parts of the customer journey, starting with areas with the highest ROI - top-of-funnel product recommendation, customer onboarding and risk diligence, customer activation and assistance for faster productionization, as well as upselling and cross-selling of Plaid products

You will have a front row seat to all the latest industry developments. Over time, with the skills and experience you develop and hone on this team, you can become an influential voice in defining where AI < Fintech will be heading longer term.

Responsibilities

• Build across the stack. Design, develop, and maintain scalable backend services and APIs, as well as intuitive, high-quality frontend applications that bring those systems to life.

• Work with other AI engineers, software engineers and machine learning engineers to architect, design and implement GenAI-powered products and features

• Collaborate across functions to understand user needs, propose and implement AI-powered solutions where they’re expected to have the highest impact

• Design and execute rapid experiments to push the boundaries on potential business impact from emerging AI capabilities, with a focus on minimal viable testing approaches

• Balance creative exploration of possibilities with rigorous evaluation of technical feasibility, product potential and business impact

Requirements

• Experience building backend services and working with microservices or service-oriented architectures

• Strong working knowledge of HTML, CSS, JavaScript, and modern frontend frameworks or libraries, with comfort building user-facing experiences

• Hands-on experience working with LLMs to build products and shipping them to product with iterating with real user feedback - including but not limited to:

• Prompt engineering

• Fine-tuning

• Retrieval augmented generation (RAG)

• Semantic search

• Vector database and embedding models

• Agent orchestration framework

• Evaluation and monitoring framework of open-ended tasks

• Streaming and SSE

• Common UX and design patterns for GenAI-powered products

• Strong debugging and monitoring experience for production systems

• Ability to deeply understand customer and user needs through user research and rapid experimentation - be your own technical PM

• Ability to balance divergent thinking (exploring possibilities) with convergent thinking (evaluating feasibility), which is critical for driving 0 ->1 projects

• Extremely curious and passionate about working in GenAI applications space

Nice-to-Haves

• Experience training and/or serving ML models in production, or fine-tuning LLMs for domain-specific use cases

• Comfortable operating in privacy/PII-sensitive environments and applying compliance mitigations

XML job scraping automation by YubHub

At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

Role Summary:

As M&A Tech Engineer, you will be at the forefront of our growth strategy, driving innovation and expansion through strategic acquisitions. This role combines a strong technical background with strategic vision.

Responsibilities:

• Identify and evaluate M&A opportunities that align with our technical and business goals, impacting Mistral's ability to innovate and expand our market presence.

• Collaborate with Product, Engineering, Legal, and Finance teams to assess potential acquisition targets from a technical perspective.

• Execute on high-potential acquisition opportunities to enhance our technical capabilities, expand our product offerings, and strengthen our position in the market.

• Work with our engineering team to assess technical synergies and integration path.

• Partner with Tech leads to define and adjust our strategic acquisition categories and criteria.

• Pitch the target post your first technical evaluation to Product and Engineering leads.

• Provide technical insights to inform investment decisions and integration planning.

• Work with our CEO, CTO, and other senior leaders to align M&A strategy with business objectives.

Who You Are:

• You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.).

• You have deep understanding of concepts and algorithms underlying machine learning and LLMs.

• You are knowledgeable in AI or machine learning product implementation with APIs, back-end and front-end interfaces.

• You can read Python code and are familiar with agents framework such as Langchain, vector DBs.

• You are curious and knowledgeable about the AI ecosystem and discovering start-ups proposing innovative solutions to tough AI issues.

• You are curious about M&A, venture capital, or related fields and willing to transfer your technicals skills into sourcing, evaluating, and executing high-impact deals.

Benefits:

• Competitive cash salary and equity

• Daily lunch vouchers: Swile meal vouchers with 10,83€ per worked day, incl 60% offered by company

• Sport: Enjoy discounted access to gyms and fitness studios through our Wellpass partnership

• Transportation: Monthly contribution to a mobility pass via Betterway

• Health: Full health insurance for you and your family

• Parental: Generous parental leave policy

• Visa sponsorship

• Coaching: we offer BetterUp coaching on a voluntary basis

XML job scraping automation by YubHub

At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are seeking a Applied AI Engineer to facilitate the adoption of our products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products.

Responsibilities

• Onboard customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces.

• Work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.

• Individually help deploy into production use cases with a considerable business impact across various industries.

• Collaborate with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open source codebases for tasks such as inference and fine-tuning.

• Be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. Provide technical guidance on our products and explain Mistral technologies to various stakeholders.

About You

• You are fluent in English.

• You hold a PhD / master in AI / data science.

• You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products.

• You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases.

• You have a deep understanding of concepts and algorithms underlying machine learning and LLMs.

• You're experienced with building and deploying LLMs or NLP applications.

• You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.

• You have strong technical coding skills in Python.

• You have experience with deep learning with Pytorch.

• You have experience with agents framework such as Langchain, vector DBs.

Ideally You Have:

• Contributed to open-source projects in particular in the space of LLMs.

• Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager.

Benefits

• Competitive salary.

• Generous Equity.

• Health: Sun Life.

• Pension: Match up to 6% of your contributions.

• PTO: 25 days.

• Transportation: Allowance public transportation or Parking charges reimbursed.

• Coaching: we offer Betterup coaching on a voluntary basis.

• Sport: 145 CAD/month reimbursement for gym membership.

• Meal stipend: 480 CAD monthly allowance for meals (solution might evolve as we grow bigger).

By applying, you agree to our Applicant Privacy Policy.

XML job scraping automation by YubHub

LLM & AI Pipeline Engineering - Design, build, and maintain production-grade LLM integration pipelines , including retrieval-augmented generation (RAG), prompt engineering, output parsing, and chain orchestration.

Develop and operate AI features within Jeeves's core financial products: spend categorization, document extraction, anomaly detection, financial Q&A, and automated reconciliation.

Implement structured output validation, fallback handling, and confidence scoring to ensure AI decisions meet reliability standards for financial use cases.

Evaluate and integrate AI frameworks and tools (LangChain, LlamaIndex, OpenAI API, Anthropic API, HuggingFace, vector databases) and advocate for the right tool for the job.

Establish prompt versioning and evaluation practices to ensure AI outputs remain accurate and consistent as models and data evolve.

Retrieval & Vector Search - Design and maintain vector search pipelines using databases such as Pinecone, Weaviate, or pgvector to power semantic search and RAG-based features.

Build document ingestion and chunking pipelines for Jeeves's financial data , processing invoices, receipts, policy documents, and transaction records.

Optimize retrieval quality through embedding model selection, chunk strategy, metadata filtering, and re-ranking techniques.

ML Model Serving & Operations - Collaborate with data scientists to take trained ML models from experimental notebooks to production serving infrastructure.

Build and maintain model serving endpoints with appropriate latency SLOs, input validation, and output monitoring.

Implement model performance monitoring and data drift detection to ensure production models remain accurate over time.

Support model retraining workflows by designing clean data pipelines and feature engineering that can be continuously updated.

Backend Integration & Reliability - Integrate AI services cleanly with Jeeves's backend microservices , designing clear API contracts, circuit breakers, and graceful degradation patterns.

Write high-quality, testable backend code in Python or Go/Node.js to power AI-integrated features.

Instrument AI components with structured logging, distributed tracing, latency dashboards, and alerting to ensure operational visibility.

Collaboration & Growth - Partner with Product, Backend Engineering, and Data Science to define the AI roadmap and translate requirements into reliable systems.

Contribute to a culture of quality by writing design docs, reviewing peers' AI system designs, and sharing learnings openly.

Help grow the AI engineering practice at Jeeves by establishing patterns, tooling, and best practices that the broader team can build on.

XML job scraping automation by YubHub

LLM & AI Pipeline Engineering - Design, build, and maintain production-grade LLM integration pipelines , including retrieval-augmented generation (RAG), prompt engineering, output parsing, and chain orchestration.

Develop and operate AI features within Jeeves's core financial products: spend categorization, document extraction, anomaly detection, financial Q&A, and automated reconciliation.

Implement structured output validation, fallback handling, and confidence scoring to ensure AI decisions meet reliability standards for financial use cases.

Evaluate and integrate AI frameworks and tools (LangChain, LlamaIndex, OpenAI API, Anthropic API, HuggingFace, vector databases) and advocate for the right tool for the job.

Establish prompt versioning and evaluation practices to ensure AI outputs remain accurate and consistent as models and data evolve.

Retrieval & Vector Search - Design and maintain vector search pipelines using databases such as Pinecone, Weaviate, or pgvector to power semantic search and RAG-based features.

Build document ingestion and chunking pipelines for Jeeves's financial data , processing invoices, receipts, policy documents, and transaction records.

Optimize retrieval quality through embedding model selection, chunk strategy, metadata filtering, and re-ranking techniques.

ML Model Serving & Operations - Collaborate with data scientists to take trained ML models from experimental notebooks to production serving infrastructure.

Build and maintain model serving endpoints with appropriate latency SLOs, input validation, and output monitoring.

Implement model performance monitoring and data drift detection to ensure production models remain accurate over time.

Support model retraining workflows by designing clean data pipelines and feature engineering that can be continuously updated.

Backend Integration & Reliability - Integrate AI services cleanly with Jeeves's backend microservices , designing clear API contracts, circuit breakers, and graceful degradation patterns.

Write high-quality, testable backend code in Python or Go/Node.js to power AI-integrated features.

Instrument AI components with structured logging, distributed tracing, latency dashboards, and alerting to ensure operational visibility.

Collaboration & Growth - Partner with Product, Backend Engineering, and Data Science to define the AI roadmap and translate requirements into reliable systems.

Contribute to a culture of quality by writing design docs, reviewing peers' AI system designs, and sharing learnings openly.

Help grow the AI engineering practice at Jeeves by establishing patterns, tooling, and best practices that the broader team can build on.

XML job scraping automation by YubHub

LLM & AI Pipeline Engineering - Design, build, and maintain production-grade LLM integration pipelines , including retrieval-augmented generation (RAG), prompt engineering, output parsing, and chain orchestration.

Develop and operate AI features within Jeeves's core financial products: spend categorization, document extraction, anomaly detection, financial Q&A, and automated reconciliation.

Implement structured output validation, fallback handling, and confidence scoring to ensure AI decisions meet reliability standards for financial use cases.

Evaluate and integrate AI frameworks and tools (LangChain, LlamaIndex, OpenAI API, Anthropic API, HuggingFace, vector databases) and advocate for the right tool for the job.

Establish prompt versioning and evaluation practices to ensure AI outputs remain accurate and consistent as models and data evolve.

Retrieval & Vector Search - Design and maintain vector search pipelines using databases such as Pinecone, Weaviate, or pgvector to power semantic search and RAG-based features.

Build document ingestion and chunking pipelines for Jeeves's financial data , processing invoices, receipts, policy documents, and transaction records.

Optimize retrieval quality through embedding model selection, chunk strategy, metadata filtering, and re-ranking techniques.

ML Model Serving & Operations - Collaborate with data scientists to take trained ML models from experimental notebooks to production serving infrastructure.

Build and maintain model serving endpoints with appropriate latency SLOs, input validation, and output monitoring.

Implement model performance monitoring and data drift detection to ensure production models remain accurate over time.

Support model retraining workflows by designing clean data pipelines and feature engineering that can be continuously updated.

Backend Integration & Reliability - Integrate AI services cleanly with Jeeves's backend microservices , designing clear API contracts, circuit breakers, and graceful degradation patterns.

Write high-quality, testable backend code in Python or Go/Node.js to power AI-integrated features.

Instrument AI components with structured logging, distributed tracing, latency dashboards, and alerting to ensure operational visibility.

Collaboration & Growth - Partner with Product, Backend Engineering, and Data Science to define the AI roadmap and translate requirements into reliable systems.

Contribute to a culture of quality by writing design docs, reviewing peers' AI system designs, and sharing learnings openly.

Help grow the AI engineering practice at Jeeves by establishing patterns, tooling, and best practices that the broader team can build on.

XML job scraping automation by YubHub

LLM & AI Pipeline Engineering

• Design, build, and maintain production-grade LLM integration pipelines , including retrieval-augmented generation (RAG), prompt engineering, output parsing, and chain orchestration.
• Develop and operate AI features within Jeeves's core financial products: spend categorization, document extraction, anomaly detection, financial Q&A, and automated reconciliation.
• Implement structured output validation, fallback handling, and confidence scoring to ensure AI decisions meet reliability standards for financial use cases.

Retrieval & Vector Search

• Design and maintain vector search pipelines using databases such as Pinecone, Weaviate, or pgvector to power semantic search and RAG-based features.
• Build document ingestion and chunking pipelines for Jeeves's financial data , processing invoices, receipts, policy documents, and transaction records.

ML Model Serving & Operations

• Collaborate with data scientists to take trained ML models from experimental notebooks to production serving infrastructure.
• Build and maintain model serving endpoints with appropriate latency SLOs, input validation, and output monitoring.

Backend Integration & Reliability

• Integrate AI services cleanly with Jeeves's backend microservices , designing clear API contracts, circuit breakers, and graceful degradation patterns.
• Write high-quality, testable backend code in Python or Go/Node.js to power AI-integrated features.

Collaboration & Growth

• Partner with Product, Backend Engineering, and Data Science to define the AI roadmap and translate requirements into reliable systems.
• Contribute to a culture of quality by writing design docs, reviewing peers' AI system designs, and sharing learnings openly.
• Help grow the AI engineering practice at Jeeves by establishing patterns, tooling, and best practices that the broader team can build on.

XML job scraping automation by YubHub

This role is highly hands-on and systems-oriented, sitting at the intersection of security, infrastructure, and distributed systems.

Your primary responsibilities will be to:

• Build and harden infrastructure security by designing and implementing security controls across cloud infrastructure, Kubernetes and containerized workloads, networking, service meshes, and edge systems, CI/CD pipelines and deployment systems, and secure compute environments for GPU workloads and model execution.
• Implement identity, secrets, and access controls, including machine identity and workload authentication, secrets management and encryption, least-privilege access, and short-lived credentials.
• Protect model weights, inference endpoints, and customer data, design secure data access pathways and isolation mechanisms, and ensure safe multi-tenant execution environments.
• Automate security guardrails directly into infrastructure and CI/CD, use Infrastructure-as-Code to enforce secure defaults, and continuously identify and remediate security gaps through automation.
• Identify and mitigate risks across infrastructure layers, defend against both external attackers and insider threats, and drive projects like network isolation, encryption, and secure service communication.

To succeed in this role, you'll need to have:

• 8+ years in security engineering, infrastructure, or SRE.
• Strong understanding of cloud security, networking fundamentals, Linux systems, and container security.
• Experience building or securing production infrastructure at scale.
• Deep knowledge of authentication and authorization systems, secrets management and cryptography basics, common vulnerabilities and attack vectors, and ability to design security controls across multiple layers.
• Proficiency in at least one language, experience with Infrastructure-as-Code, and strong automation mindset.

Nice to have experience with GPU infrastructure, multi-tenant platform isolation, service mesh architectures, and high-growth startup environments.

What makes this role unique is that you'll work on cutting-edge AI infrastructure security, secure GPU clusters, model execution, and real-time inference systems, have high ownership, and direct impact on developer trust and platform reliability.

Our security philosophy is to enable developers, automate everything, assume breach, and design for resilience.

In terms of compensation and benefits, we offer competitive salary, equity, full health, dental, and vision coverage, and opportunity to work on frontier AI infrastructure.

XML job scraping automation by YubHub

We currently have 614 open roles

Principal AI Engineer – Enterprise Agentic AI

Job Summary

You are a highly skilled, hands-on engineer with a passion for embedding advanced AI into the heart of enterprise business systems. With a robust enterprise background and a minimum of 10 years in software engineering, you thrive on architecting and delivering production-grade AI solutions that drive real business outcomes.

Key Responsibilities

• Lead the architecture and hands-on development of enterprise agentic AI platforms across core business domains.
• Build and deploy AI copilots and multi-agent workflows for business teams (Legal, Finance, Sales, HR, Operations) using Microsoft AI Copilot, SAP BTP, Salesforce, and other platforms.
• Embed AI directly into enterprise workflows, ensuring seamless integration with ERP and CRM systems.
• Design, implement, and govern secure AI solutions utilizing MCP (Model Context Protocol) and A2A (Agent-to-Agent) orchestration standards.
• Develop scalable APIs and microservices in Python and C#, supporting robust, production-ready AI deployments.
• Ensure production readiness through best practices in CI/CD, observability, reliability, and continuous evaluation.
• Mentor engineers, lead architectural discussions, and collaborate with cross-functional business and technical stakeholders.

Impact

• Drive the adoption of agentic AI across Synopsys' core business systems, setting standards for enterprise AI integration and governance.
• Deliver high-visibility, high-impact AI solutions that transform business processes and decision-making for teams company-wide.
• Shape the architecture and best practices for scalable, secure, and reliable AI across hybrid and multi-vendor environments.
• Empower business teams to leverage AI copilots and intelligent workflows for increased productivity and innovation.
• Mentor and upskill engineering teams, fostering a culture of excellence, collaboration, and forward-thinking AI adoption.
• Ensure AI solutions meet enterprise standards for security, compliance, reliability, and operational excellence.

Requirements

• 10–15 years of software engineering experience, with a focus on enterprise systems.
• Expert-level proficiency in both Python and C#.
• Hands-on experience building and operating production AI/GenAI systems integrated with ERP and CRM platforms.
• Deep understanding of agentic AI, RAG, multi-step workflows, and enterprise-grade AI architecture.
• Proven experience with Microsoft AI Copilot, Copilot Studio, Microsoft AI Foundry, SAP BTP, and Salesforce AI (including Einstein and agentic capabilities).
• Expertise in microservices, API development, CI/CD pipelines, and cloud deployments.
• Experience with SQL, NoSQL, and vector databases.
• Preferred: Familiarity with LangChain, LangGraph, LlamaIndex, MCP, A2A, and prior support for business functions such as Legal, Finance, Sales, or HR.

Who You Are

• Enterprise-minded engineer with a strong platform and architecture focus.
• Hands-on leader who enjoys mentoring and collaborating across business and technical teams.
• Pragmatic, delivery-oriented, and able to translate business needs into robust AI solutions.
• Adaptable and comfortable working in fast-changing, multi-vendor, and hybrid environments.
• Excellent communicator, able to articulate complex technical concepts to diverse audiences.
• Committed to continuous learning and keeping pace with the latest in AI and enterprise technology.

The Team You’ll Be A Part Of

You will join a cross-functional, forward-thinking engineering team responsible for embedding trustworthy, scalable AI into Synopsys’ most critical business systems. Our team partners closely with business stakeholders and platform owners to deliver agentic AI workflows that create measurable business value. We are passionate about innovation, operational excellence, and setting the standard for enterprise AI adoption.

Rewards and Benefits

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

XML job scraping automation by YubHub

Responsibilities:

• Lead the Bangalore Fraud Operations Centre, managing team leads and senior associates
• Own core fraud investigations and complex investigations, including escalations and time-sensitive incident response in partnership with global Fraud/Risk stakeholders
• Establish and run the operating system for the org: goal setting, team cadences, SOPs, change management, queue health, SLAs, QA programs, calibration, and readiness for new products/markets
• Define, develop, and represent key operational and risk metrics for the Bangalore centre (through dashboards and recurring readouts), translating data into actions and priorities
• Drive process development and continuous improvement: root cause analysis, defect reduction, policy adherence, and consistency across reviewers and teams
• Partner with other Risk teams to evolve fraud tooling and workflows (manual and automated actioning), including safe rollout and measurement of changes
• Support outsourcing relevant workflows: identify transition candidates, design/standardize processes for hand off, and support training as needed
• Own staffing models, capacity planning, scheduling, hiring plans, onboarding, and training strategy to meet business needs while maintaining a high bar for quality and user experience
• Maintain close “floor” engagement: regularly dive into cases, review decisions, support frontline judgment, and ensure feedback loops translate into measurable improvements
• Partner with recruiting to define role profiles and interview loops, drive bar-raising hiring decisions, and build a diverse team
• Own career development and succession planning, team health and engagement
• Build a great culture, a destination workplace, fostering our values, serving as a beacon of Stripe’s user-centric philosophy and culture of transparency, empathy, inclusion, and empowerment

You are an operations leader who can scale fraud investigation and review programs while staying close to the details. You are fluent in running high-performing teams through clear metrics and operating cadence, and you can partner cross-functionally to evolve tooling and processes. You bring sound judgment, calm execution under pressure, and a bias toward data-backed solutions and measurable improvements in both fraud outcomes and user experience.

Minimum requirements:

• Experience leading cross-functional initiatives and driving change through ambiguity, including new workflows for new products, markets, or emerging fraud patterns
• Experience leading fraud, risk, trust & safety, or investigations operations in a high-scale environment, including managing managers/team leads
• Ability to partner effectively with internal globally distributed stakeholders and comfortable leading internal teams and vendors
• Proven ability to define and operationalize metrics (e.g., accuracy/quality, SLAs, throughput, loss outcomes, appeals/rework, user friction) and use data to drive priorities
• Comfort working across detection systems and manual/automated actioning systems; ability to translate operational needs into product/engineering requirements
• Strong operational background including new process launches, service delivery and strong at building operating models
• Excellent written and verbal communication skills, including presenting in operational reviews and representing the team in high-pressure escalations in English
• Skill and credibility doing the core work of a user-facing team with a high bar for quality, and a willingness to lead by example
• At least 7+ years of direct people management experience; this includes handling performance management and proactively coach/mentor individuals
• Experience with payments, risk, compliance, or financial industry operations

Preferred qualifications:

• Demonstrated ability to run an operations centre: capacity planning, scheduling, queue management, performance management, and quality programs
• Strong fraud domain depth across investigation workflows, risk vectors, and decision frameworks; able to independently review cases and guide frontline judgment
• Experience scaling or transforming fraud review operations through process redesign, tooling improvements, and/or vendor partnerships
• Experience with payments risk (CNP/card testing, ATO, merchant fraud, transaction fraud) and familiarity with how upstream detection and downstream enforcement interact
• Strong analytics proficiency (building/owning dashboards; querying data directly) and comfort partnering deeply with data science/engineering
• Experience operating in a global, follow-the-sun model and partnering across time zones

XML job scraping automation by YubHub

Engine is Starling's software-as-a-service (SaaS) business, the technology that was built to power Starling, and two years ago we split out as a separate business. Starling has seen exceptional growth and success, and a large part of that is down to the fact that we have built our own modern technology from the ground up.

This SaaS technology platform is now available to banks and financial institutions all around the world, enabling them to benefit from the innovative digital features, and efficient back-office processes that has helped achieve Starling's success.

As a company, everyone is expected to roll up their sleeves to help deliver great outcomes for our clients. We are an engineering led company and we’re looking for people who are will be excited by the potential for Engine’s technology to transform banking in different markets around the world.

Our purpose is underpinned by five values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working We have a Hybrid approach to working here at Engine - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person.

About the Role To support our growth, we are looking for talented and motivated SOC engineers to join our foundational in-house SOC team.

In this pivotal role, you will be instrumental in supporting the development, implementation, and operating of our security monitoring, detection, and response capabilities, with a particular focus on our cloud environments.

You'll be at the forefront of responding to incidents and alerts, and helping shape the future of our security operations capabilities.

What you'll get to do:

Security Monitoring & Alert Triage: Monitor security alerts and events generated by various security tools, perform triage and analysis of security incidents and anomalies, distinguishing between true positives and false positives.

Prioritise alerts based on severity, potential impact, and business criticality.

Incident Detection & Response: Investigate security incidents thoroughly, leveraging logs from platforms, endpoints, applications, and other security tools.

Create and follow incident response playbooks and contribute to their continuous improvement.

Collaborate with Technology, Product and Engineering Teams to contain, eradicate, and recover from security incidents.

Document incident details, findings, and remediation steps accurately and comprehensively.

Additionally:

Stay informed about the latest cyber threats, attack techniques, and vulnerabilities, especially those targeting cloud environments.

Participate in proactive threat hunting activities using available tools and data sources.

Contribute to the optimisation, tuning, and maintenance of SOC tools.

Identify opportunities for automation to streamline security operations and enhance detection capabilities.

Maintain detailed records of security incidents, investigations, and remediation actions.

Requirements:

3+ years of hands-on experience in a Security Operations Center (SOC) or similar cybersecurity role.

Demonstrable experience with cloud security monitoring and incident response.

Familiarity with various attack vectors, threat intelligence frameworks (e.g., MITRE ATT&CK).

A cyber/information security related degree and/or relevant cybersecurity qualifications would be beneficial e.g. CompTIA Security+, (ISC)² SSCP or CySA+

XML job scraping automation by YubHub

Responsibilities

• Lead Charlotte Tilbury's brand codes across all Store Design elements
• Express the strength of the brand aesthetically and commercially from initial sketches to the launch of projects across all regions worldwide
• Be part of the Global ideation team developing new designs in response to the brand's needs
• Have a good understanding of technical drawings to produce floor plans, elevations, and details
• Support new distribution across different markets and work with Project managers to meet deadlines and budgets
• Manage various processes from creative to commercial always with the brand objectives in mind
• Oversee contractors and approval architectural and construction details for manufacture
• Prepare the design pack for both internal and external/retailer approval
• Understand and interpret local building codes, integrating comprehensive design solutions compliant with local and regional regulations
• Identify and propose solutions to resolve issues that can impact project schedule, cost, or design integrity on multiple projects
• Attend installation of new stores monitoring standards and snagging issues
• Communicate effectively via verbal and drawing skills, understand and tailor presentations to the audience (internal & external)

Who you will work with Reporting into a Senior Global Store Design Manager and supporting the Global Store Design Director

About you Some of the skills we are looking for include:

• Architecture or Interior Design degree
• Experience using Sketchup (3D), Vectorworks (2D), Microsoft office (basic Word and Excel programs), InDesign and Photoshop
• Proficient sketching and rendering skills to communicate ideas
• Global retail design experience preferred
• Entrepreneurial spirit and a team player
• Ability to execute multiple designs under tight deadlines and to budget
• Demonstrate appropriate level of business acumen while staying current on design trends and competitive patterning
• Passionate and focused on Retail of the Future, a true disruptor
• Working on cross-functional projects requested by senior stakeholders even if outside his/her scope
• Ability to balance design with operational needs and budget
• Exceptional eye for detail and commercial opportunities
• Current working knowledge of building and health codes and compliance issues
• Focused on quality and implementation processes

Why join us?

• Be a part of this values-driven, high-growth, magical journey with an ultimate vision to empower everyone, everywhere to be the best version of themselves
• We're a hybrid model with flexibility, allowing you to work how best suits you
• 25 days holiday (plus bank holidays) with an additional day to celebrate your birthday
• Inclusive parental leave policy that supports all parents and carers throughout their parenting and caring journey
• Financial security and planning with our pension and life assurance for all
• Wellness and social benefits including Medicash, Employee Assist Programs and regular social connects with colleagues
• Bring your furry friend to work with you on our allocated dog-friendly days and spaces
• And not to forget our generous product discount and gifting!

At Charlotte Tilbury Beauty, our mission is to empower everybody in the world to be the most beautiful version of themselves. We celebrate and support this by encouraging and hiring people with diverse backgrounds, cultures, voices, beliefs, and perspectives into our growing global workforce. By doing so, we better serve our communities, customers, employees,and the candidates that take part in our recruitment process.

XML job scraping automation by YubHub

You will report directly to our wonderful Senior Store Design Project Manager, UK & ANZ, working alongside some highly creative and talented individuals within our wider VM & Store Design UK team. You will also work cross functionally, with teams such as Commercial, Retail, VM, PR & Global, as well as external suppliers and partners.

You have demonstrable experience in a similar role within Project Management in Store Design, alongside experience in managing the approval process for retail stores in all types of environments. You have an exceptional eye for detail and great vision on how to use spaces and commercial opportunities. You are skilled in the visual, written and verbal communication of design issues. You are an excellent communicator, confident and comfortable presenting, able to influence and effectively articulate your point of view. You have exceptional organisational skills and can manage multiple stakeholders with ease! You thrive working to pace, you are able to ruthlessly prioritise and can manage multiple deadlines at anyone time with ease. Decisive problem-solving skills with regards to construction materials and methods a must, with an awareness of design trends and materials. You have a strong understanding of basic mechanical, electrical, plumbing, and structural concepts. You are a self-starter, with the ability to work independently as well as part of a team to collaborate and drive team success!

You have excellent project planning and time management skills, with an exceptional eye for detail and great vision on how to use spaces and commercial opportunities. You are able to balance design with operational needs and budget objectives, to create exceptional store environments and customer experience. You are super confident using the MS Suite, with monday.com knowledge advantageous. You have good working knowledge of Vectorworks, AutoCAD and basic Photoshop, InDesign. Knowledge of best practice within the construction industry, including accessibility requirements is advantageous.

XML job scraping automation by YubHub

Founded by British makeup artist and beauty entrepreneur Charlotte Tilbury MBE in 2013, Charlotte Tilbury Beauty has revolutionised the face of the global beauty industry.

The AI & ML Engineering team accelerates the adoption of AI across the business, championing innovation while ensuring our machine learning products are robust, scalable, and cost-efficient.

Responsibilities:

Partner with stakeholders to scope problems and identify the right solution - whether leveraging existing AI tools or building custom workflows & solutions.

Design and implement agentic systems using techniques spanning RAG, grounding, prompt engineering, and orchestration on a GCP-first stack.

Build and maintain production ML pipelines and services for non-GenAI use cases (e.g. recommender systems, customer segmentation models, marketing optimisation modules, leveraging supervised, unsupervised and/or econometric modelling approaches).

Develop APIs and microservices for AI/ML solutions, ensuring security, scalability, and observability.

Implement CI/CD for ML services, writing infrastructure as code, and monitoring for model/data drift and performance.

Establish robust guardrails for safe AI usage, including prompt security, practical evaluation frameworks, and compliance with privacy regulations.

Drive and evangelize best practices, reusable templates, and documentation to scale AI/ML delivery across the business.

Collaborate with data engineers, data scientists, front & back-end engineers, product managers, legal & infosec colleagues to deliver impactful solutions end-to-end.

Who you will work with

The AI & ML Engineer Lead and the wider data team.

About you

The role requires a blend of technical depth and product sense, including:

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Strong Python engineering skills (FastAPI, testing, typing) and experience with cloud-native development (GCP preferred).

Hands-on experience with GCP Vertex AI (model endpoints, pipelines, embeddings, vector search) or equivalent cloud-native ML platforms (e.g. AWS SageMaker, Azure ML) and agent orchestration frameworks such as LangChain and LangGraph.

Solid understanding of MLOps - CI/CD, IaC (Terraform), experiment tracking, model registry, and monitoring.

Proven experience deploying and operating ML systems in production (batch and real-time).

Familiarity with RAG architectures, prompt engineering, and evaluation techniques.

Strong grasp of security, privacy, and governance principles (IAM, secrets, PII handling).

Excellent communication skills and ability to work with non-technical stakeholders.

In addition to the above, we would LOVE if you have:

Experience with vector databases and retrieval strategies.

Knowledge of recommender systems and ranking models.

Familiarity with LLM evaluation tools (e.g., RAGAS, TruLens, LangSmith, Arize).

Exposure to feature stores, data lineage, and observability stacks.

Experience in e-commerce or retail environments.

Demonstrable ability to weigh up build/build/configure decisions in the LLM space.

Why join us?

Be a part of this values driven, high growth, magical journey with an ultimate vision to empower everyone, everywhere to be the best version of themselves.

We’re a hybrid model with flexibility, allowing you to work how best suits you.

25 days holiday (plus bank holidays) with an additional day to celebrate your birthday.

Inclusive parental leave policy that supports all parents and carers throughout their parenting and caring journey.

Financial security and planning with our pension and life assurance for all.

Wellness and social benefits including Medicash, Employee Assist Programs and regular social connects with colleagues.

Bring your furry friend to work with you on our allocated dog friendly days and spaces.

And not to forget our generous product discount and gifting!

At Charlotte Tilbury Beauty, our mission is to empower everybody in the world to be the most beautiful version of themselves.

We celebrate and support this by encouraging and hiring people with diverse backgrounds, cultures, voices, beliefs, and perspectives into our growing global workforce.

By doing so, we better serve our communities, customers, employees - and the candidates that take part in our recruitment process.

If you want to learn more about life at Charlotte Tilbury Beauty please follow our LinkedIn page!

XML job scraping automation by YubHub

At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are a global company with teams distributed between France, USA, UK, Germany, and Singapore. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments.

About The Job

Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products.

Responsibilities

• Onboard customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces.

• Work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.

• Individually help deploy into production use cases with a considerable business impact across various industries.

• Collaborate with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases.

• Involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. Provide technical guidance on our products and explain Mistral technologies to various stakeholders.

About You

• You are fluent in English.

• You hold a PhD / master in AI / data science.

• You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products.

• You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases.

• You have deep understanding of concepts and algorithms underlying machine learning and LLMs.

• You're experienced with building and deploying LLMs or NLP applications.

• You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.

• You have strong technical coding skills in Python.

• You have experience with deep learning with Pytorch.

• You have experience with agents framework such as Langchain, vector DBs.

Benefits

• Competitive cash salary and equity

• Health Insurance

• Sport: $90 for gym membership allowance

• Food: $200 monthly allowance for meals (solution might evolve as we grow bigger)

• Transportation: $120/month for public transport or Parking charges reimbursed

XML job scraping automation by YubHub

As a senior developer at BlackRock, you'll work for a leading financial company and be part of a team creating next-generation technology. You will be working as a key member of our core Private Markets technology team, based in London, and will be responsible for delivering high efficiency, high availability, concurrent and fault tolerant software systems using API-First principles.

Your Responsibilities

• Work closely alongside the Engineering Lead to deliver on the technical strategy for your team.
• Collaborate directly with colleagues across Private Markets and the wider Aladdin organization to build and deliver market leading software at pace.
• Deliver high efficiency, high availability, concurrent and fault tolerant software systems using API-First principles.
• Collaborate with product managers, designers, and other stakeholders to understand requirements and translate them into technical specifications.
• Design, develop, and implement secure, scalable, and reliable micro-services to deliver client-facing applications using a Java backend and React frontend.
• Optimize performance and reliability through continuous testing, debugging, and refinement.
• Stay abreast of industry trends and emerging technologies to drive innovation and maintain a competitive edge, with a particular focus on AI.
• Provide technical leadership and mentorship to more junior developers, fostering a culture of learning and growth within the team.

Requirements

• A Bachelor’s degree in Computer Science, Engineering, or a related field.
• 7+ years of professional experience in Java development, with a focus on building client-facing APIs or platforms
• Strong written and verbal communication skills, with experience managing and mentoring diverse teams.
• Knowledge of building applications using AI tooling and frameworks (e.g. LLMs, prompt engineering, vector databases).
• Experience integrating AI/ML services into backend systems and APIs.
• Familiarity with AI-driven development practices and tools for code generation and testing.
• Strong proficiency in Java and related frameworks (e.g. Spring Boot, Hibernate).
• Some experience in React or similar, and modern JavaScript/TypeScript.
• Solid experience with object-oriented design and applying standard design patterns
• Experience designing, building, and deploying scalable microservices using API-first principles with REST and/or gRPC.
• A strong appreciation for best practices, attention to detail, and building secure and stable systems.
• A collaborative mindset, with a drive to build high-quality software efficiently.
• Experience with API authentication and authorisation mechanisms (e.g. OAuth, JWT).
• Hand-on experience with engineering tools such as Git, Maven, unit and integration testing frameworks, and mocking libraries.
• Excellent problemsolving skills and attention to detail.
• Exposure to Docker, Kubernetes, and cloud services in an enterprise environment is beneficial.
• Experience with message brokers such as Kafka a plus.
• A friendly, positive, and cando attitude.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

XML job scraping automation by YubHub

Responsibilities

• Build scalable, well-structured, efficient web applications and components
• Work on building green-field projects from the ground up
• Maintain and improve existing code
• Work with other teams to build new services and products
• Scope and plan new software components

Experience

• Good understanding and hands-on experience with TypeScript
• Working knowledge with AI engineering tools, vectorisation and LLMs
• Ability to build components from scratch in React and a full understanding of the component life cycle
• Ability to build responsive UI components using modern CSS and tools, such as Storybook
• Understanding of the importance of consistency and standards in software development
• Skills with CI/CD and DevOps tools and practices, Docker and Kubernetes

What's in it for you

• Competitive salary range of £40,000 - £55,000
• Hybrid role from our Bath Office, working three days from the office, two from home
• Uncapped leave, because we trust you to manage your workload and time
• When we hit our targets, enjoy a share of our profits with a bonus
• Refer a friend and get rewarded when they join Future
• Wellbeing support with access to our Colleague Assistant Programmes
• Opportunity to purchase shares in Future, with our Share Incentive Plan

Who are we

We're a global leader in specialist media, with over 3,000 employees working across 200+ media brands. We're passionate about creating trusted, expert content that educates and inspires action - both online and off - through our specialist websites, magazines, events, newsletters, podcasts and social spaces.

Our Future, Our Responsibility - Inclusion and Diversity at Future

We embrace and celebrate diversity, making it part of who we are. Different perspectives spark ideas, fuel creativity, and push us to innovate. That's why we're building a workplace where everyone feels valued, respected, and empowered to thrive.

XML job scraping automation by YubHub

The Technology & Engineering department at Future offers a collaborative, collegiate environment. The primary focus in this environment is on effective but well-engineered and scalable solutions. These solutions address questions posed both by our product and commercial teams and from within the department.

We run regular Hack Days and focus on best practices by tech-based guilds. This feeds into our products and improves our developer experience and the efficiency of our sites and services.

Our delivery teams work directly with tech leads and senior team members, ensuring projects are well-scoped and the Measurements are clear.

We provide time and resources for training to ensure the personal development of our team members, which is important to the success of our department overall.

What you'll be doing

As a Software Engineer, you'll work as an important member of Future's Technology & Engineering team reporting into the Director of Engineering. Your aim is to ensure the delivery of scalable, well-structured, efficient web applications and components. The primary focus is on building green-field projects from the ground up – using the latest libraries and best practices – and also maintaining and improving existing code. You will be responsible for the scoping and planning of new software components, refactoring existing code, and working with other teams to build new services and products

Experience that will put you ahead of the curve

• Good understanding and hands-on experience with TypeScript.
• Working knowledge with AI engineering tools, vectorisation and LLMs.
• The ability to build components from scratch in React and a full understanding of the component life cycle.
• The ability to build responsive UI components using modern CSS and tools, such as Storybook.
• An understanding of the importance of consistency and standards in software development.
• Skills with CI/CD and DevOps tools and practices, Docker and Kubernetes.

What's in it for you

The expected range for this role is CZK 70,000 – CZK 110,000. This is a Hybrid role from our Brno Office, working three days from the office, two from home

Benefits

• Uncapped leave, because we trust you to manage your workload and time
• When we hit our targets, enjoy a share of our profits with a bonus
• Refer a friend and get rewarded when they join Future
• Opportunity to access sports, health, and relaxation facilities across Czechia

Who are we...

We're Future, the global leader in specialist media. With over 3,000 employees working across 200+ media brands, Future is a prime destination for passionate people worldwide looking to consume trusted, expert content that educates and inspires action - both online and off - through our specialist websites, magazines, events, newsletters, podcasts and social spaces.

Our Future, Our Responsibility - Inclusion and Diversity at Future

We embrace and celebrate diversity, making it part of who we are.

Different perspectives spark ideas, fuel creativity, and push us to innovate. That's why we're building a workplace where everyone feels valued, respected, and empowered to thrive.

When it comes to hiring, we keep it fair and inclusive, welcoming talent from every walk of life. It's not just about what you bring to the table — it's about making sure the table has room for everyone.

Because a diverse team isn't just good for business. It's the Future.

Find out more about Our Future, Our Responsibility on our website.

Please let us know if you need any reasonable adjustments made so we can give you the best experience!

#LI-Hybrid

XML job scraping automation by YubHub

Constructor is seeking a Backend Engineer to join its AI Shopping Agents team. The primary focus of this job is to design, deliver & maintain web and data pipeline services in close collaboration with other engineers.

Responsibilities

• Build, deploy, and support backend services
• Define cloud infrastructure using AWS CloudFormation and maintain CI/CD pipelines with GitHub Actions
• Improve and operate our observability stack
• Collaborate with technical and non-technical stakeholders to design, develop, and refine features
• Communicate effectively with stakeholders within and outside the team
• Contribute to data processing pipelines and ETL processes

Requirements

• Strong proficiency in Python and server-side web development (API design, concurrency/asynchronous programming)
• Experience designing, building, and operating production backend services (performance, reliability, on-call/operations mindset)
• Experience with Infrastructure as Code and cloud resource management (AWS preferred; Azure/GCP also fine)
• Hands-on experience building or maintaining CI/CD pipelines
• Experience with observability: metrics/logs/traces, dashboards, and alerting
• Experience working with databases, including at least one relational and one NoSQL system (e.g., PostgreSQL, DynamoDB)

Nice to Haves

• Experience with high-load and/or real-time systems
• Experience with distributed/service-oriented architectures, including interface definition and binary RPC (e.g., Protobuf/gRPC)
• Familiarity with additional vector databases
• Experience contributing to or owning ETL/data pipeline systems at scale

Benefits

• Work with smart and empathetic people who will help you grow and make a meaningful impact.
• Regular team offsite events to connect and collaborate.
• Fully remote team - choose where you live.
• Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year.
• Work from home stipend! We want you to have the resources you need to set up your home office.
• Apple laptops provided for new employees.
• Training and development budget for every employee, refreshed each year.
• Maternity & Paternity leave for qualified employees.
• Base salary: $80k–$120K USD, depending on knowledge, skills, experience, and interview results.
• Stock options - offered in addition to the base salary

XML job scraping automation by YubHub

About the team: The team includes Backend Engineers, Full-stack Developers, ML Engineers, Data Scientists, and Frontend Developers—collaborating to deliver intelligent and scalable AI experiences.

Responsibilities:

• Lead and mentor a team of backend and frontend developers, fostering a high-performing, collaborative engineering culture.
• Own the technical direction, architecture, and strategy for LLM, AI Agent, and ML initiatives.
• Architect and build AI Agents, RAG pipelines (including multimodal RAG), LLM-based services, and evaluation frameworks.
• Design, build, and deploy scalable AI/ML systems from concept to production.
• Collaborate closely with PMs, ML Engineers, and Data Scientists to convert business requirements into AI-driven solutions.
• Oversee full SDLC for your squad—ensuring strong engineering practices around coding, testing, quality, and reliability.
• Conduct detailed technical reviews and provide guidance to maintain code quality.
• Troubleshoot performance, scalability, and reliability issues in production AI systems.
• Champion continuous improvement, automation, and innovation within the team.
• Keep the team up-to-date with advances in LLMs, LLMOps, fine-tuning techniques, vector search, and generative AI.

Requirements:

• 8–10 years of experience in software development.
• More than 5 years of hands-on experience in AI/ML.
• More than 2 years in an engineering leadership role, preferably leading a cross-functional team.
• Hands-on experience building:
  • AI Agents / Agentic workflows
  • LLM pipelines (inference, orchestration, guardrails)
  • RAG systems (vector search, knowledge bases, multimodal RAG)
  • LLM fine-tuning (SFT, LoRA, instruction tuning)
  • LLMOps workflows (monitoring, evaluation, optimization, versioning)
• Strong understanding of ML algorithms, embeddings, transformers, vector semantics, and distributed systems.
• Experience with Vector Databases such as Elasticsearch, Weaviate, Pinecone, or Milvus.
• Proficiency with ML frameworks (PyTorch, TensorFlow, scikit-learn).
• Experience with cloud platforms (AWS, GCP, Azure) and MLOps tooling.

Good to have:

• Solid foundation in backend technologies such as Python, Java, Go, Node.js, and experience with Kafka.
• Knowledge of the Gaming industry or Customer Support domain.
• Familiarity with frontend frameworks (React, Angular, Vue.js).
• Exposure to functional programming (Clojure preferred; our team uses Clojure).
• Experience in startup/high-growth environments.
• Open-source contributions in AI/ML/LLM projects.
• Experience with containerization and orchestration (Docker, Kubernetes).

Bonus Points:

• Experience building production-grade LLM-powered automation for customer support or gaming.
• Publications, presentations, or contributions related to LLMs, RAG, or AI Agents.

Benefits:

• Hybrid setup
• Worker's insurance
• Paid Time Offs
• Other employee benefits to be discussed by our Talent Acquisition team in India.

XML job scraping automation by YubHub

We are looking for a Backend AI Engineer to join our team and help build and scale backend systems that power AI Agents for the gaming industry, handling millions of customer support tickets at scale.

In this role, you will work on high-throughput backend services, AI-powered workflows, and retrieval-based systems that support large-scale customer support automation. You will collaborate closely with AI Engineers, ML Engineers, and Product teams to design, build, deploy, and operate reliable backend systems that integrate AI components such as RAG pipelines and AI Agent orchestration.

This is an excellent opportunity to work on production-grade AI systems operating at massive scale, where performance, reliability, and observability are critical.

What You’ll Do:

• Design, develop, and maintain scalable backend services and APIs using Python and frameworks like FastAPI.
• Build and integrate backend workflows supporting AI Agents and customer support automation use cases.
• Develop secure and performant REST APIs for internal and external consumers.
• Integrate AI components such as RAG pipelines, embedding services, and inference APIs into backend systems.
• Work with databases including MongoDB, YugabyteDB, and PostgreSQL to support high-scale, low-latency workloads.
• Containerize applications using Docker and deploy/manage services on Kubernetes (K8s).
• Deploy and operate services on AWS and GCP cloud platforms.
• Implement and maintain CI/CD pipelines, and actively participate in CM/CR release processes.
• Use observability tools such as Grafana, Elasticsearch, and Kibana to monitor system health, debug issues, and improve reliability.
• Write clean, testable, and maintainable code; participate in code reviews and design discussions.
• Troubleshoot and resolve production issues related to scalability, performance, and reliability.

Requirements

• 3–5 years of experience in backend software development.
• Strong hands-on experience with Python and backend frameworks, especially FastAPI.
• Experience building backend APIs and workflow integrations.
• Solid understanding of databases such as MongoDB, PostgreSQL, and YugabyteDB.
• Hands-on experience with Docker and working knowledge of Kubernetes.
• Familiarity with AWS and GCP cloud services.
• Good understanding of CI/CD concepts, build pipelines, and CM/CR release processes.
• Working knowledge of observability and logging systems like Grafana, Elasticsearch, and Kibana.
• Basic to intermediate understanding of AI systems, especially Retrieval-Augmented Generation (RAG).
• Strong problem-solving skills and ability to work effectively in a collaborative team environment.

Good to Have / Plus Skills

• Experience with Jenkins for CI/CD automation.
• Familiarity with MCP concepts and AI orchestration frameworks.
• Hands-on exposure to AI/LLM-based systems, embeddings, or vector search.
• Experience or familiarity with Clojure.
• Knowledge of the Gaming industry or Customer Support domain.
• Experience working in high-scale, high-traffic production systems.

Bonus Points

• Experience building or operating AI Agents in production environments.
• Exposure to distributed systems, event-driven architectures, or message queues.
• Interest in AI reliability, evaluation, and system observability at scale.

Benefits

• Hybrid setup
• Worker's insurance
• Paid Time Offs
• Other employee benefits to be discussed by our Talent Acquisition team in India.

XML job scraping automation by YubHub

Responsibilities:

• Design, develop, and deploy end-to-end GenAI solutions (RAG, AI agents, agentic workflows, prompt engineering).
• Integrate AI solutions into existing systems, applications, and business processes.
• Implement LLMOps practices, including Docker containerization, CI/CD pipelines, and versioning strategies.
• Ensure monitoring, observability, cost optimization, and rollback mechanisms for production AI services.
• Define and execute evaluation frameworks (hallucination metrics, A/B testing, offline/online validation).
• Apply security, compliance, and governance guidelines for GenAI implementations.
• Collaborate with stakeholders and contribute to AI delivery standards and onboarding practices.

Requirements:

• Master’s degree in Computer Science, Software Engineering, Data Engineering, or a related field.
• Very strong expertise in Python and software engineering (APIs, testing, code reviews).
• Practical experience with RAG architectures, vector databases, and agentic AI workflows.
• Hands-on experience deploying production-grade AI services.
• Solid knowledge of Docker and CI/CD pipelines.
• Understanding of ML fundamentals, evaluation concepts, and LLM behavior.
• Familiarity with cloud environments (preferably Azure) and distributed systems.
• Strong analytical and problem-solving skills.
• Very good level of English.
• Autonomous, reliable, and team-oriented mindset.

What you will get:

• A role with true technical ownership: architecture, scaling, and governance decisions that directly impact production AI solutions.
• Complex projects that go beyond “just pipelines” – covering big data processing and large-scale ML/DL deployment.
• Opportunities to deepen your expertise in Databricks, cloud-native ML, and MLOps.
• A team where your input and technical decisions truly matter.
• A competitive package and benefits.

XML job scraping automation by YubHub

The role will primarily be based in our Midlands office with some travel to customers' locations and other worldwide AVL locations.

Responsibilities:

• Work with other team members and customers' engineers to deliver ADAS & AD projects according to plan
• Develop test plans and test cases for ADAS features, ensuring appropriate requirements coverage and traceability back to use cases
• Plan, conduct, and evaluate vehicle and systems tests in virtual environments, on test tracks, and public roads
• Develop calibration for ADAS features and functions
• Identify and develop use cases for ADAS
• Develop, define, and refine requirements for ADAS features (from feature level down to component level) as well as performance KPIs
• Report and present project activities
• Work with customers to understand and track project milestones and deliverables dates

Requirements:

• Degree in Automotive Engineering, Mechanical Engineering, Electrical & Electronic Engineering or equivalent
• Experience with vehicle integration, tests planning, vehicle and systems testing in virtual environments, on test tracks, and public roads
• Experience with ADAS features calibration, vehicle testing, data collection, and post-processing
• Awareness of systems development lifecycle
• Understanding of vehicle control modules, E/E architecture, and vehicle systems
• Good communication skills in written and verbal English
• Excellent organizational and time management skills
• High motivation and proactive attitude towards learning and new technologies
• Flexibility to travel to suppliers, customers, other AVL offices

Preferred:

• ADAS/AD systems engineering experience
• Knowledge of ADAS regulations and standards (UN-ECE and ISO)
• Knowledge of C++, Python, and/or ROS
• Knowledge of simulation and validation tools (e.g. CarMaker)
• Experience using Vector tools (e.g. CANalyzer, CANape) or equivalent

Benefits:

• EV Lease Scheme (Salary Sacrifice)
• Flexi-time (applies to most roles)
• Private Medical Insurance and Health Cash Plan
• Cycle to Work Scheme
• 25 days holiday per year (increases by 1 day annually up to the max. of 28 days)
• Special occasion leave (eligibility after probation, subject to conditions)
• Pension scheme
• Life Assurance and Income Protection Insurance
• One paid professional membership annually

XML job scraping automation by YubHub

As a Senior Product Manager, you will work at the nexus of product and research, driving execution in partnership with engineers, language engineers, data scientists and researchers. You will develop and execute on LLM platform strategy for Copilot that extend language model's capabilities. You will prototype approaches by steering language models to drive response quality across a wide range of scenarios. You will identify and prioritise platform, orchestration and language model issues that impact quality, factuality and safety and working with engineers and researchers to find a path to resolution.

You will define and build measurable evaluations with relevant datasets to demonstrate quality improvements. You will define, deploy and manage experiments in production that impact language model's tool use, driving measurable improvements in relevance for and engagement with Copilot users. You will partner with product teams to scale tool building and work with inference, agents and orchestration teams to resolve dependencies. You will be accountable to own the status of key projects, proactively identifying risks and proposing solutions to ensure timely delivery.

Responsibilities include:

• Developing and executing on LLM platform strategy for Copilot that extend language model's capabilities
• Prototyping approaches by steering language models to drive response quality across a wide range of scenarios
• Identifying and prioritising platform, orchestration and language model issues that impact quality, factuality and safety and working with engineers and researchers to find a path to resolution
• Defining and building measurable evaluations with relevant datasets to demonstrate quality improvements
• Defining, deploying and managing experiments in production that impact language model's tool use, driving measurable improvements in relevance for and engagement with Copilot users
• Partnering with product teams to scale tool building and working with inference, agents and orchestration teams to resolve dependencies
• Being accountable to own the status of key projects, proactively identifying risks and proposing solutions to ensure timely delivery

XML job scraping automation by YubHub

As a Senior Professional (all genders) – KI- & Agentenstrategie, you will be responsible for developing and implementing artificial intelligence (AI) and agent-based strategies within the company. You will work closely with various departments to identify and prioritise relevant use cases, develop and integrate scalable AI-agent solutions, and evaluate new technologies.

Key Responsibilities

• Develop and steer the internal AI- and agent-based strategy, including conceiving and continuously optimising the company's strategy for AI and agent-based systems, identifying and prioritising new use cases, defining goals and planning measures, and coordinating closely with departments
• Build and scale AI-agents, including initiating, developing, and integrating scalable AI-agent solutions, evaluating new technologies, and steering the implementation process until production readiness, handover to operation, and continuous further development
• Monitor and evaluate market and competitive trends in the field of AI and AI-agents, assess new tools and frameworks, and derive strategic recommendations for the roadmap and portfolio
• Implement new AI-functionalities in the Microsoft ecosystem, including introducing and integrating new AI-functionalities (particularly in the Microsoft environment, e.g. M365 Copilot/Copilot Studio, Azure OpenAI, Power Platform, Azure Cognitive Search/Vector Stores, PromptFlow), planning rollouts, enabling, and continuously optimising
• Manage AI-projects, including steering, team and service provider coordination, budget, deadline, and goal control, as well as ensuring quality, acceptance, and operation
• Ensure governance, data protection, and compliance, including establishing guardrails, risk assessment, and documentation in accordance with common standards (e.g. EU AI Act), including monitoring and evaluation (prompt/agent evaluation, observability)

Requirements

• A Master's degree in (business) informatics, data science, engineering, or a comparable field
• 3-5+ years of professional experience in IT project management or technology-related roles, preferably with a focus on introducing, evaluating, or enabling AI-based solutions
• Excellent knowledge of the Microsoft ecosystem, particularly in services such as Azure OpenAI, Power Platform, M365 Copilot/Copilot Studio, and a basic understanding of agent-based frameworks (e.g. LangChain, LangGraph, AutoGen), RAG concepts, and vector stores
• A solid understanding of AI governance, data protection, and IT security, as well as practical experience in evaluating and monitoring AI systems (e.g. prompt and agent evaluation, observability)
• Strong problem-solving and product-oriented skills, as well as a high level of self-responsibility, structure, and reliability
• An open, team-oriented working style combined with a pragmatic hands-on mentality
• Excellent communication and presentation skills in German and English, both in a technical context and when addressing business stakeholders, as well as the ability to clearly and address-specifically convey complex relationships

Benefits

• Comprehensive and flexible pension and insurance options
• Flexible working models, including mobile work, flexible working hours, or sabbaticals
• Support for work-life balance, including childcare, holiday programs, parent networks, and a family service
• A range of health promotion measures, including check-ups, vaccinations, ergonomic advice, digital tools, and comprehensive support from the company's health management
• Attractive conditions for purchasing and leasing vehicles, including exclusive toll-free leasing for long-term employees, as well as discounts on vehicles from Porsche, Volkswagen, Audi, and Ducati
• A diverse and subsidised catering offer with fresh, seasonal, and regional food, modern cafeterias, and sustainable take-out options
• Support for sustainable mobility, including discounted Germany tickets, bicycle leasing, and comprehensive charging infrastructure for electric vehicles at the locations
• Discounts on corporate benefits, employee discounts on Porsche lifestyle products and services, such as package stations
• A fair and performance-oriented salary, including voluntary special payments, Christmas and holiday bonuses, and special premiums for service anniversaries

XML job scraping automation by YubHub

Anthropic is seeking an exceptional Senior Staff Software Engineer to join the Claude Developer Platform team and serve as the senior-most individual contributor across API Engineering. The Claude API has seen rapid growth and adoption by companies of all sizes to build AI applications with our industry-leading models.

This role sets the technical direction for the systems that make Claude accessible to developers, enterprises, and partners at scale. You will operate at the intersection of technical strategy and execution, partnering closely with Research, Inference, Platform, Infrastructure, and Safeguards to ensure the Claude API is reliable, capable, and positioned to grow with Anthropic's ambitions.

Responsibilities

• Define and drive multi-year technical strategy for the Claude API, setting direction across API Core, Capabilities, Knowledge, Distributability, and Agents.

• Identify and personally lead the highest-complexity, highest-impact engineering initiatives spanning multiple teams.

• Serve as the primary technical decision-maker for major architectural decisions with org-wide scope.

• Partner with Research to evaluate and integrate frontier capabilities; work with Inference and Platform for reliable delivery at scale; collaborate with Infrastructure and Safeguards for reliability, security, and responsible deployment.

• Mentor and develop Staff-level engineers across the org.

• Drive alignment across Product, GTM, Safety, and beyond while proactively identifying and addressing systemic technical risks.

You may be a good fit if you:

• Have 12+ years of engineering experience with a clear track record operating at Staff or Senior Staff level.

• Have demonstrably shaped technical strategy for large-scale API or distributed systems platforms.

• Drive the highest-leverage technical outcomes without formal authority—you lead through influence, quality of thinking, and trust.

• Have deep expertise in distributed systems and API architecture, and are effective writing design docs, making architectural calls, and coding in critical paths.

• Are highly effective across org boundaries—you build trust with Research, Inference, Infrastructure, Safeguards, and business stakeholders alike.

• Bring strong product instincts and a craftsperson's approach to API design; you communicate clearly with both technical and non-technical audiences.

Technical Stack

• Languages: Python, TypeScript

• Frameworks: FastAPI, React

• Infrastructure: GCP, Kubernetes, Cloud Run, AWS, Azure

• Databases: PostgreSQL (AlloyDB), Vector Stores, Firestore

• Tools: Feature Flagging, Prometheus, Grafana, Datadog

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

This is a hands-on, investigative role requiring strong technical depth, understanding of modern software engineering and CI/CD systems, familiarity with cloud-native infrastructure (especially GCP), and the ability to work across multiple teams in a fast-paced environment.

Responsibilities

Threat Awareness & Rapid Assessment

• Continuously monitor emerging threats, including bad actor activity, 0-day vulnerabilities, public exploitation campaigns, bug bounty reports, and customer-reported security issues

• Quickly assess the applicability of these threats to Replit’s cloud infrastructure, SaaS services, internal tooling, and platform components.

Investigation & Impact Analysis

• Conduct targeted investigations to determine whether Replit is already impacted by a newly discovered threat, vulnerability, or exploit.

• Analyze logs, telemetry, and system behaviors using SIEM, metrics, Cloud Logging, and related tools.

• Identify gaps or weaknesses in existing detection or visibility and propose improvements.

Containment, Mitigation & Cross-Team Collaboration

• Research potential impact paths and develop mitigation strategies for confirmed or applicable threats.

• Partner closely with Security, SRE, and Engineering teams to coordinate and implement containment, patches, configuration updates, or code-level fixes.

• Document findings, mitigations, and follow-up actions clearly for internal teams.

Required Skills & Experience

• Strong understanding of software engineering fundamentals, including code structure, build systems, dependencies, and package ecosystems—enabling effective partnership with Engineering teams.

• Understanding of CI/CD pipelines and DevOps workflows, enabling collaboration with Infrastructure and DevOps teams.

• Solid knowledge of cloud architecture, especially Google Cloud Platform (GCP) services used in modern cloud-native deployments.

• Familiarity with SaaS architectures, identity systems, and integration patterns for effective collaboration with Cloud Security teams.

• Hands-on experience with SIEM, Cloud Logging, and log-based investigation workflows.

• Ability to perform investigations using log data, behavioral indicators, and threat intelligence.

• General understanding of vulnerability lifecycles, exploitability analysis, and common attack vectors.

Preferred Qualifications

• Experience with threat intelligence, security research, or vulnerability analysis.

• Familiarity with Kubernetes, containers, serverless infrastructure, or modern distributed systems.

• Ability to write scripts or small tools for investigation or automation (Python, Go, Bash).

• Experience working with bug bounty programs or coordinated vulnerability disclosure workflows.

• Experience in fast-paced, cloud-native, or AI/ML-driven environments.

What We Value

• Curiosity & initiative: Strong desire to understand attacker behaviors, emerging threats, and how they apply to real-world systems.

• Speed & analytical rigor: Ability to quickly assess high-risk vulnerabilities with clear, evidence-based reasoning.

• Collaboration: Comfort working across cross-functional teams spanning Security, SRE, Engineering, and Infrastructure.

• Clear communication: Ability to explain findings, risks, and mitigation strategies to stakeholders at all levels.

• Ownership mindset: Takes initiative to drive investigations, improvements, and remediations to completion

• Continuous learning: Passion for staying up to date on new vulnerabilities, exploit trends, and cloud-native security best practices.

Full-Time Employee Benefits Include:

💰 Competitive Salary & Equity

💹 401(k) Program with a 4% match

⚕️ Health, Dental, Vision and Life Insurance

🩼 Short Term and Long Term Disability

🚼 Paid Parental, Medical, Caregiver Leave

🚗 Commuter Benefits

📱 Monthly Wellness Stipend

🧑‍💻 Autonomous Work Environment

🖥 In Office Set-Up Reimbursement

🏝 Flexible Time Off (FTO) + Holidays

🚀 Quarterly Team Gatherings

☕ In Office Amenities

Want to learn more about what we are up to?

• Meet the Replit Agent

• Replit: Make an app for that

• Replit Blog

• Amjad TED Talk

Interviewing + Culture at Replit

• Operating Principles

• Reasons not to work at Replit

To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially

XML job scraping automation by YubHub

Research Engineer / Research Scientist - Foundations Retrieval IC

Location

San Francisco

Employment Type

Full time

Department

Research

Compensation

• $445K – $555K • 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 Foundations Research team works on high-risk, high-reward ideas that could shape the next decade of AI. Our goal is to advance the science and data that enable our training and scaling efforts, with a particular focus on future frontier models. Pushing the boundaries of data, scaling laws, optimization techniques, model architectures, and efficiency improvements to propel our science.

About the Role

We’re looking for a researcher focused on our embedding retrieval efforts. You’ll work with a team of world-class research scientists and engineers developing foundational technology that enables models to retrieve and condition on the right information, at the right time. This includes designing new embedding training objectives, scalable vector store architectures, and dynamic indexing methods.

This work will support retrieval across many OpenAI products and internal research efforts, with opportunities for scientific publication and deep technical impact.

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.

Responsibilities

• Tackle embedding models and retrieval systems optimized for grounding, relevance, and adaptive reasoning.

• Collaborate with a team of researchers and engineers building end-to-end infrastructure for training, evaluating, and integrating embeddings into frontier models.

• Drive innovation in dense, sparse, and hybrid representation techniques, metric learning, and learning-to-retrieve systems.

• Collaborate closely with Pretraining, Inference, and other Research teams to integrate retrieval throughout the model lifecycle

• Contribute to OpenAI’s long-term vision of AI systems with memory and knowledge access capabilities rooted in learned representations.

You Might Thrive in This Role If You Have

• Proven experience leading high-performance teams of researchers or engineers in ML infrastructure or foundational research.

• Deep technical expertise in representation learning, embedding models, or vector retrieval systems.

• Familiarity with transformer-based LLMs and how embedding spaces can interact with language model objectives.

• Research experience in areas such as contrastive learning, supervised or unsupervised embedding learning, or metric learning.

• A track record of building or scaling large machine learning systems, particularly embedding pipelines in production or research contexts.

• A first-principles mindset for challenging assumptions about how retrieval and memory should work for large models.

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

Research Engineer, Retrieval & Search, Applied Engineering

Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $293K – $585K • 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

We bring OpenAI's technology to the world through products like ChatGPT and the OpenAI API.

We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.

About the Role

We are looking for an experienced Research Engineer to work on retrieval & search problems across our API and ChatGPT. As the AI landscape has evolved over the last few years, retrieval & search have emerged as key use cases for our models, and we are investing in ensuring that we can offer these search-based product experiences for our users. You will be at the center of our retrieval & search efforts as a company, and the progress you drive here will reach millions of end users.

In this role, you will:

• Work on retrieval & search algorithms and methodologies in close collaboration with our research team, including problems in such domains as document search, enterprise search, knowledge retrieval, and web-scale search.

• Deploy these search methodologies into production in both the API and ChatGPT to be used by millions of end users.

• Explore novel research topics in retrieval & search that may inform our product strategy in the medium and long term.

• Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world

You might thrive in this role if you:

• Have extensive prior experience building and maintaining production machine learning systems.

• Have prior experience working with vector databases, search indices, or other data stores for search and retrieval use cases

• Have prior experience building and iterating on internet-scale search systems

• Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done

• Have the ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines

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

San Mateo, CA, United States

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.

At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.

A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.

You Will

As a Senior Machine Learning Engineer on the AI Platform team, you will be a key contributor to building the cutting-edge systems that power AI at Roblox. You will focus on one of three high-impact tracks:

Track 1: AI Platform Projects

• Pioneer next-generation AI tooling to enhance the efficiency, cost, and usability of ML@Roblox.
• Build and maintain core platform components: Serving Layer, Model Registry, Pipeline Orchestrator, and Training/Inference control planes.
• Design great developer experiences (paved-road templates, tooling, visualizations) to reduce time-to-production and ensure foundational AI systems are scalable and reliable.

Track 2: Distributed Inference & Systems Optimization

• Architect and implement scalable distributed inference systems for efficiently serving LLMs and Large Recommender Models at massive scale.
• Conduct deep, low-level performance analysis and optimize ML models (using techniques like continuous batching, speculative decoding, and quantization) and systems on GPU architectures to maintain peak performance and stability.

Track 3: Information Retrieval & RAG for Gen AI

• Lead the design and development of Retrieval-Augmented Generation (RAG) systems.
• Build and maintain core information retrieval infrastructure—vector databases and knowledge graphs—to enable accurate grounding of Gen AI models.
• Ship language models and 3D objects as a service for the Roblox community, making creation easier.

You Have

• Possessing or pursuing a Ph.D. in Computer Science, Computer Engineering, Mathematics, Statistics, or a related technical field, with a thesis aligned to Roblox’s research areas.
• Experience with high performance distributed systems, ML Infrastructure, LLM fine tuning/RL, Information Retrieval and Gen AI context generation.
• Expertise in one or more of the following key areas:
• AI/ML Platform Data stores - Features stores, Vector DBs and Knowledge Graphs.
• LLMs - Fine tuning, Safety.
• Agentic systems - Agent evaluation, context engineering.

• Experience building agentic applications with context for real world applications.
• Collaborative mindset and experience integrating and deploying optimized models with cross-functional teams, including data scientists and software engineers.
• Experience with graph databases and large-scale GNNs (Graph Neural Networks)
• Experience working with Kubernetes
• Experience working with one or more cloud providers (e.g., AWS, Azure, GCP)
• Experience working with high availability systems
• Experience working with ML models, LLMs or other AI systems

You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer.

As you apply, you can find more information about our process by signing up for Speak\_. You'll gain access to our practice assessment, comprehensive guides, FAQs, and modules designed to help you ace the hiring process.

For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.

Annual Salary Range

$195,780—$242,100 USD

Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).

XML job scraping automation by YubHub

What you'll do

Implement AI solutions to enable efficiency, expansion, and transformation across EA Experiences, directly aligned with EA Experiences' goals. You will:

• Stay informed on the evolution of AI technologies and opportunities to drive efficiency, expansion, and transformation
• Have a deep understanding of AI technologies and solutions, specifically focusing on how they can be integrated into business processes and systems to enhance efficiency
• Collaborate EA Experiences teams to understand their business, processes, opportunities, and challenges.
• Identify opportunities for developing creative AI solutions that enable our teams to focus on creative and innovative work that keeps our fans at the center of what we do
• Be an AI evangelist, promoting the use of AI as a force-multiplier

What you need

• 4+ years experience rapidly prototyping and deploying robust production solutions incorporating software engineering, infrastructure, architectural, and security best practices
• Excellent Python development skills are required, C#, JavaScript, HTML, and CSS are strongly preferred
• Experience using agentic AI software engineering solutions such as Cursor, GitHub CoPilot, or Claude Code
• Extensive experience engineering AI solutions and excellent working knowledge of:
• Prompt and context engineering
• AI agents, agentic architectures, tool calling, and Model Context Protocol (MCP)
• AI assistants, RAG, embeddings, and vector databases
• Model tuning, evaluation, benchmarking, and guardrails
• An excellent understanding of architecture, design principles, and cloud services, such as:
• AWS (Azure, and GCP cloud services are optional)
• Enterprise architecture and microservices design
• Observability and telemetry
• Infrastructure as code and CI/CD
• Data science experience is beneficial
• Content production (e.g. marketing) is strongly beneficial
• Experience navigating the legal, ethical, and security implications for AI
• Thrive working both collaboratively and independently
• Excellent creative, critical thinking, and problem solving skills
• Enjoy and prioritize continual learning- and staying up to date with the newest technologies and solutions and can understand how they can benefit EA Experiences
• Demonstrated ability to clearly and succinctly articulate complex concepts at a senior level
• Experience integrating AI solutions specifically with AAA Console/PC games and businesses is beneficial
• Experience with game engines is beneficial (Unity, Unreal)

Why this matters

This role is a key part of our EA Experiences team, and will help us to create innovative AI solutions that keep our fans at the center of everything we do. As an AI Solutions Engineer, you will be working closely with teams across EA Experiences to develop and implement cutting-edge AI solutions that provide increased efficiency and help our teams focus on what matters most, our fans.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Senior Product Manager, Copilot AI at their Mountain View 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 landscape.

About the Role

As a Senior Product Manager, you will drive Copilot model capabilities such as tool-use to ensure that the language models that power Microsoft Copilot deliver high quality responses to our users whilst being grounded, reliable, and cost-efficient. You will work at the nexus of product and research, driving execution in partnership with engineers, language engineers, data scientists and researchers.

Accountabilities

• Develop and execute on LLM platform strategy for Copilot that extend language model’s capabilities.
• Prototype approaches by steering language models to drive response quality across a wide range of scenarios.

The Candidate we're looking for

Experience:

• 5+ years experience in product management.
• 3+ years of experience leading ambiguous product areas, defining requirements, developing roadmaps, and working with multi-disciplinary teams to execute them.

Technical skills:

• Hands-on experience with LLM APIs (e.g. OpenAI, Anthropic, Azure OpenAI), embeddings, vector databases, and tool use.
• Hands-on experience with prompt design, context window management, and model evaluation.

Personal attributes:

• Abundance of positive energy, empathy, and kindness.
• Highly effective.

Benefits

• Competitive salary.
• Benefits and other compensation.

XML job scraping automation by YubHub

What you'll do

You will partner with engineers to develop a quality mindset and advocate for quality standards in a Web and Mobile Automotive context

• You will develop and implement automated tests, introduce best QA practices, and ensure an appropriate level of code coverage

What you need

• You have successfully completed Bachelor’s or Master’s degree in Information Technology or an equivalent education

• You have at least 3 years of experience in web or mobile software testing

XML job scraping automation by YubHub

What you'll do

• Relentlessly push search quality forward — through models, data, tools, or any other leverage available.
• Train, and optimize large-scale deep learning models using frameworks like PyTorch, leveraging distributed training (e.g., PyTorch Distributed, DeepSpeed, FSDP) and hardware acceleration, with a focus on retrieval and ranking models.
• Conduct research in representation learning, including contrastive learning, multilingual, evaluation, and multimodal modeling for search and retrieval.
• Build and optimize RAG pipelines for grounding and answer generation.

What you need

• Understanding of search and retrieval systems, including quality evaluation principles and metrics.
• Strong proficiency with PyTorch, including experience in distributed training techniques and performance optimization for large models.
• Interested in representation learning, including contrastive learning, dense & sparse vector representations, representation fusion, cross-lingual representation alignment, training data optimization and robust evaluation.
• Publication record in AI/ML conferences or workshops (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, SIGIR).

Why this matters

As a Machine Learning Research Engineer at Perplexity, you will have the opportunity to work on cutting-edge projects that have a direct impact on the performance of our search and retrieval systems. Your contributions will help us to improve the accuracy and efficiency of our models, and ultimately, provide better results for our users.

XML job scraping automation by YubHub

What you'll do

You will partner with engineers to develop a quality mindset and advocate for quality standards in a Web and Mobile Automotive context

• You will develop and implement automated tests, introduce best QA practices, and ensure an appropriate level of code coverage

What you need

• You have successfully completed Bachelor’s or Master’s degree in Information Technology or an equivalent education

• You have at least 3 years of experience in web or mobile software testing

XML job scraping automation by YubHub

What you'll do

• Defines, plans, and performs engine, powertrain calibration and other relevant engineering project work within project team as required.
• Plans and manages engineering resources according to project requirements.

What you need

• Experience and Education: Bachelor’s degree in mechanical engineering or related field, Masters’ degree preferred, 3-5+ years’ experience in expertise, Experience and exposure to Automaker Practices.
• Technical: A thorough understanding of Internal Combustion Engines and Powertrain related vehicle systems functionality, A basic understanding of IC engine emissions controls components, After Treatment Systems and functionality.
• Powertrain Calibration development experience with achieving automotive tailpipe emissions standards. ~~~~ OBD Calibration to achieve automotive OBD requirements:
• Monitors
• CCM
• Catalyst
• Misfire
• EGR
• AFRIM
• HEGO
• Etc.
• OBD Self-Cert Demonstration, Documentation, Statistics and Reporting
• Green, 4km, Full Useful Life, OBD limit components
• WPA and BPU
• In Use Monitor Performance (IUMPR)
• Ability to be effective in the following areas:
• Powertrain Calibration optimization to meet fuel economy and emissions objectives.
• Vehicle development trip support for hot weather, cold weather and high altitude.
• Ability to operate effectively in a professional testing environment.
• Working experience/knowledge/skills ~~of~~ in some or all of the following ~~tools~~:
• Etas INCA
• ATI Vision
• Vector CANape, CANalyzer
• Ability to interpret C Code and navigate other software description aids
• Microsoft Office (required)
• Relational/Professional: Active support of Group Leader for managing of small technical teams, Working effectively with customers and other program staff and team members, Accountability for individual and team delivery, Active pursuit of personal and departmental improvement, Effective communication with all levels of the program team, Active involvement in Annual Review and Work Planning Process.
• Commercial: Support the Business Development process for specific clients, Efficient on time delivery of program expectations with consistently high feedback.

XML job scraping automation by YubHub

What you'll do

The specific roles of a Project Engineer II in this effort include:

• Defines, plans, and performs engine, powertrain calibration and other relevant engineering project work within project team as required.
• Plans and manages engineering resources according to project requirements.

What you need

• Experience and Education: Bachelor’s degree in mechanical engineering or related field, Masters’ degree preferred, 3-5+ years’ experience in expertise, Experience and exposure to Automaker Practices.
• Technical: A thorough understanding of Internal Combustion Engines and Powertrain related vehicle systems functionality, A basic understanding of IC engine emissions controls components, After Treatment Systems and functionality.
• Powertrain Calibration development experience with achieving automotive tailpipe emissions standards. ~~~~ OBD Calibration to achieve automotive OBD requirements:
• Monitors
• CCM
• Catalyst
• Misfire
• EGR
• AFRIM
• HEGO
• Etc.
• OBD Self-Cert Demonstration, Documentation, Statistics and Reporting
• Green, 4km, Full Useful Life, OBD limit components
• WPA and BPU
• In Use Monitor Performance (IUMPR)
• Ability to be effective in the following areas:
• Powertrain Calibration optimization to meet fuel economy and emissions objectives.
• Vehicle development trip support for hot weather, cold weather and high altitude.
• Ability to operate effectively in a professional testing environment.
• Working experience/knowledge/skills ~~of~~ in some or all of the following ~~tools~~:
• Etas INCA
• ATI Vision
• Vector CANape, CANalyzer
• Ability to interpret C Code and navigate other software description aids
• Microsoft Office (required)
• Relational/Professional: Active support of Group Leader for managing of small technical teams, Working effectively with customers and other program staff and team members, Accountability for individual and team delivery, Active pursuit of personal and departmental improvement, Effective communication with all levels of the program team, Active involvement in Annual Review and Work Planning Process.
• Commercial: Support the Business Development process for specific clients, Efficient on time delivery of program expectations with consistently high feedback.

XML job scraping automation by YubHub

What you'll do

We are looking for a Project Engineer to join our team. As a Project Engineer, you will be responsible for defining, planning, and performing engine, powertrain calibration and other relevant engineering project work within project team as required.

• Defines, plans, and performs engine, powertrain calibration and other relevant engineering project work within project team as required.
• Plans and manages engineering resources according to project requirements.

What you need

• Experience and Education: 0-3+ years’ experience required, Bachelors’ degree in Engineering required, Master’s degree in Engineering preferred.
• Experience and exposure to Automaker Practices is beneficial.
• Experience and knowledge/skills in some or all of the following tools: Etas INCA, ATI Vision, Vector CANape, CANalyzer, Ability to interpret C Code and navigate other software description aids

XML job scraping automation by YubHub

What you'll do

Joining the AVL Mobility team provides engineers with the ability to grow and develop skills across a variety of customer projects. Every day at AVL is different and our team thrives in a fast-paced, dynamic environment.

• Performs engine and vehicle calibration and other relevant engineering project work within project team as required.
• Works on specific phases or aspects of projects such as, preparation of specifications, technical plans, engine testing, vehicle testing, data analysis and validation.

What you need

• Experience and Education
• Bachelor’s degree preferred
• 0-3+ years’ experience in area of expertise
• Technical degree or certification in engine or automotive technology
• Familiarity with regulatory and market segment requirements and end-user expectations
• Supports Calibration Engineers in the following areas:
• Compression ignition engines
• Spark-ignited direct injection (NA or turbocharged)
• Spark-ignited PFI engines
• Base engine calibration (steady-state and transient)
• Fuel system development and calibration
• Turbocharging and EGR system development and calibration
• Vehicle and/or engine emissions calibration and optimization to meet regulatory standards.
• Vehicle and/or engine cold start and environmental correction calibration.
• Vehicle development trip support for hot weather, cold weather and high altitude.
• Vehicle drivability and feature calibration
• Torque model and torque path calibration
• OBDII and diagnostic development and calibration
• Exhaust after-treatment calibration for diesel DPF, DOC, SCR systems
• Working experience with some or all of the following tools:
• Etas INCA
• ATI Vision
• Vector CANape, CANalyzer
• AVL Drive
• AVL Cameo
• AVL Concerto
• Mototron MotoTune/MotoHawk
• MS Excel, Word, Powerpoint

XML job scraping automation by YubHub

What you'll do

• Develop AI-based foundations and services that allow the Frostbite community to benefit from agentic developer workflows.
• Provide secure and scalable solutions for all stages of the software development lifecycle, including spec-driven coding, validation and releasing.
• Pilot new AI capabilities to assess their impact on developer efficiency and quality.

What you need

• 4+ years of job experience in a hands-on coding role using languages like Python, C# or C++.
• 1+ years of experience using generative AI software engineering solutions such as GitHub CoPilot.
• Proficiency in good development practices (version control, code reviews) and validation (static code analysis, unit testing, CI/CD pipelines).

Why this matters

This role is a key part of Electronic Arts' efforts to transform software engineering and quality processes with the power of generative AI, agents and context engineering. By contributing to this work, you will have a direct impact on the quality and efficiency of game development at Electronic Arts.

XML job scraping automation by YubHub

What you'll do

Implement AI solutions to enable efficiency, expansion, and transformation across EA Experiences, directly aligned with EA Experiences' goals. You will:

• Stay informed on the evolution of AI technologies and opportunities to drive efficiency, expansion, and transformation
• Have a deep understanding of AI technologies and solutions, specifically focusing on how they can be integrated into business processes and systems to enhance efficiency
• Lead collaborative efforts with EA Experiences teams to understand their business, processes, opportunities, and challenges.
• Identify opportunities for developing creative AI solutions that enable our teams to focus on creative and innovative work that keeps our fans at the center of what we do
• Be an AI evangelist, promoting the use of AI as a force-multiplier

What you need

• 4 years + experience rapidly prototyping and deploying robust production solutions incorporating software engineering, infrastructure, architectural, and security best practices
• Python development skills, C#, JavaScript, HTML, and CSS is beneficial
• Experience using agentic AI software engineering solutions such as Cursor
• Extensive experience engineering AI solutions and excellent working knowledge of:
• Prompt and context engineering
• AI agents, agentic architectures, tool calling, and Model Context Protocol (MCP)
• AI assistants, RAG, embeddings, and vector databases
• Model tuning, evaluation, benchmarking, and guardrails
• A comprehensive understanding of architecture and design principles, and cloud services, such as:
• AWS, Azure, and GCP cloud services
• Enterprise architecture and microservices design
• Observability and telemetry
• Infrastructure as code and CI/CD
• Experience navigating the legal, ethical, and security implications for AI
• Thrive working both collaboratively and independently
• Excellent creative, critical thinking, and problem solving skills
• Enjoy and prioritize continual learning- and staying up to date with the newest technologies and solutions and can understand how they can benefit EA Experiences
• Demonstrated ability to clearly and succinctly articulate complex concepts at a senior level
• Experience integrating AI solutions specifically with AAA Console/PC games and businesses is beneficial

XML job scraping automation by YubHub