Based in New York, the successful candidate will have strong analytical and problem-solving skills, excellent attention to detail, and the ability to explain sophisticated technical concepts clearly and concisely.

The role requires high autonomy, as much of the senior technical team is based in Dublin and the New York hire will be relied upon heavily in-region.

Principal Responsibilities:

• Contribute to a wide range of projects and deliver quickly and iteratively.
• Write, support, maintain, and test code following best practices, including unit testing, documentation, and automation within standard CI/CD processes.
• Support key datasets (live and historical), ML models, and the supporting infrastructure spanning multiple technologies, languages, and systems.
• Partner with team members to set the overall direction, design, and architecture of the platform; collaborate with key stakeholders across the business.

Qualifications / Skills Required:

• 6+ years of kdb+ and Python experience in a quantitative finance setting, with a proven track record of deploying systems at scale.
• Bachelor’s degree in Mathematics, Computer Science, Financial Engineering, Operations Research, or similar.
• Fluency with enterprise-grade technology used for research and trading analytics; ability to operate independently.
• Strong communication skills and the ability to work effectively in a team environment.

The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future.

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

We're seeking a Senior Machine Learning Platform Engineer to join our Machine Learning Platform team. The team builds the foundational components for feature engineering and training/serving ML models at Coinbase. Our platform is used to combat fraud, personalize user experiences, and to analyze blockchains.

As a Senior Machine Learning Platform Engineer, you will:

Form a deep understanding of our Machine Learning Engineers’ needs and our current capabilities and gaps. Mentor our talented junior engineers on how to build high quality software, and take their skills to the next level. Continually raise our engineering standards to maintain high-availability and low-latency for our ML inference infrastructure that runs both predictive ML models and LLMs. Optimize low latency streaming pipelines to give our ML models the freshest and highest quality data. Evangelize state-of-the-art practices on building high-performance distributed training jobs that process large volumes of data. Build tooling to observe the quality of data going into our models and to detect degradations impacting model performance.

What we look for in you:

5+ yrs of industry experience as a Software Engineer. Strong understanding of distributed systems. Lead by example through high quality code and excellent communication skills. Great sense of design, and can bring clarity to complex technical requirements. Treat other engineers as a customer, and have an obsessive focus on delivering them a seamless experience. Mastery of the fundamentals, such that you can quickly jump between many varied technologies and still operate at a high level. Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to haves:

Experience building ML models and working with ML systems. Experience working on a platform team, and building developer tooling. Experience with the technologies we use (Python, Golang, Ray, Tecton, Spark, Airflow, Databricks, Snowflake, and DynamoDB).

Job ID: P75535

Pay Transparency Notice: Depending on your work location, 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, vision and 401(k)). Annual base salary range (excluding equity and bonus): $186,065-$225,000 USD

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

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

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

Responsibilities

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

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

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

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

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

• Provide mentorship and technical direction to team members as appropriate

Qualifications

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

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

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

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

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

Compensation

$200K – $275K + Bonus + Equity

Benefits

• A competitive compensation package

• 30 days paid vacation per year

• Comprehensive health insurance for US based employees

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

• Quarterly company-wide retreats

• Monthly wellness benefit

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

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

• A buddy to help you get settled

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

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

Key Responsibilities:

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

Requirements:

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

Ideal Background:

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

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Responsibilities:

• Develop and manage comprehensive project plans to execute on initiatives, identify key milestones, and ensure alignment across stakeholders
• Think both broadly about overall outcomes while using good judgment on where to focus in on details
• Influence the technical direction of projects to meet the stakeholders' needs while upholding quality
• Quickly validate project ideas through iterative development, and pivot as necessary
• Define and align on success criteria for both short-term and long-term business goals, regularly assessing risks and opportunities and identifying mitigation strategies
• Manage effective communication channels to keep a wider range of stakeholders updated on the progress
• Showcase the work in front of senior leaders, clearly communicate trade-offs, risks, and opportunities

Your Expertise:

• 7+ years of experience in the software development industry, with at least 5 years as a TPM or relevant experience
• Experience using AI to automate manual processes to improve you and your team's productivity
• Demonstrated ability to work through ambiguity to detailed solutions
• Self-motivated, proactive, and proven ability to adapt well and work with teams having different operating cadences
• Sound business judgment, a proven ability to influence others, strong analytical skills, and a track record of taking ownership, leading data-driven analyses, and influencing results
• Experience with ML models, LLMs, LRMs, feature development, model testing, and resource management to support the development of AI-powered product experiences
• Familiar with A/B testing, incremental delivery, and deployment
• Ability to ramp up quickly and learn new technologies with minimal lag time
• Excellent written and oral business communication and people skills, with the ability to influence stakeholders

Nice to have:

• Experience developing or working directly on various aspects of large-scale ML/AI platforms
• Experience with feature development of AI-powered product experiences
• Experience and passion for building and maintaining products leveraging AI models

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Your mission will be to package our AI capabilities into elegant desktop experiences that put unprecedented capabilities at users' fingertips. You will work with a talented team of engineers, researchers, and product specialists to design and implement key components that bridge our AI technology with intuitive user interfaces.

Join us in this exciting mission to transform how people engage with our AI technology and unlock new realms of human potential.

Today, our app is mostly web-based – but we’re eager to build the best possible version of Claude for macOS and Windows with a mix of both native and web technologies.

You might be a great fit for this role if you’re up for the challenge of learning multiple programming languages. We are more interested in strong engineers excited to learn new languages and technologies to build the best possible experience than we are looking for people with hands-on experience in Chromium, Electron, C++, or the various native macOS and Windows APIs.

We believe that strong engineers can learn whatever technology is best suited to build the best possible experience – and we understand that even the best engineers will have little experience with one of the operating systems and areas we’d like to invest in.

We’re looking for curious engineers excited to figure out, with us, what AI on the desktop could do.

Responsibilities:

• Develop and maintain the core infrastructure and features within Claude.ai and in our Electron-based desktop app using a typical web stack (TypeScript, React)

• Use native code (Rust, Swift, C++) to bring advanced features to the desktop app, connecting Claude to macOS and Windows

• Optimise application performance, memory usage, and startup time across platforms

• Design and build robust update mechanisms and deployment pipelines

• Create monitoring tools to track application performance and user experience

• Build a strong intuition for how advanced LLMs could be most useful on your computer, augmenting humans in their work

You may be a good fit if you have:

• Have 5+ years of experience as a software engineer, with strong emphasis on desktop application development

• Have practical experience with Electron and deep understanding of its architecture

• Possess strong JavaScript/TypeScript skills and experience with modern frontend frameworks

• Take a product-focused approach and care about building solutions that are robust, scalable, and easy to use

• Have experience with native module development in C++ to extend application capabilities

• Understand macOS and/or Windows platform-specific technologies and development patterns

• Have experience with cross-platform application packaging, code signing, and distribution

• Thrive in a fast-paced, collaborative environment and enjoy working closely with cross-functional teams

We’re working with a large number of technologies - and you might be an excellent candidate even if you’ve only worked with a subset of them. An ideal candidate may have never used Electron before but does have hands-on experience in working with Chromium’s C++. Similarly, a great candidate may have worked on Electron apps, but hasn’t used C++ or Swift before. We understand that even the best engineers will have more experience with some platforms than others.

Strong candidates may also have experience with:

• Experience working on and building operating systems, browsers, or deeply OS-integrated software (screensharing, video-calling, game engines, etc)

• Experience integrating and working with AI/ML models and understanding their capabilities

• Demonstrated success implementing cross-platform development strategies

• Vision for the future of AI-powered desktop applications and a drive to make that vision a reality

• Have experience with IPC (Inter-Process Communication) and security in desktop applications

Deadline to apply: None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $320,000-$405,000 USD

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The best generative models aren’t just a product of model architecture and compute, they are a product of the training data. The model output reflects someone’s obsession over what goes into the data, how it’s processed, and what gets thrown away. We’re looking for the person who does the obsessing and builds the tools to act on it at scale.

This isn’t a role where someone hands you a dataset and asks you to clean it. You will decide what data we need, figure out where to get it, build the processing and curation systems, and close the loop with model training to make sure it actually works.

Responsibilities:

• Discover, evaluate, and acquire training data
• Build data processing and curation systems
• Look at the actual data constantly
• Close the data → model → evaluation loop
• Deploy ML models for data enrichment
• Make systematic, documented decisions

Requirements:

• Strong software engineering fundamentals
• Deep experience with image and video data at scale
• Experience with distributed computing
• Experience using ML models as components
• A research-oriented approach to data decisions
• Familiarity with the model training lifecycle

Nice to Have:

• Familiarity with columnar and large-scale data storage formats and libraries
• Track record of independently discovering and integrating new data sources into a training pipeline
• Direct experience closing the data → model quality loop
• Strong visual intuition for data quality and diversity

What This Isn’t:

• Not infrastructure
• Not pure research
• Not a role where you wait for instructions

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Our Sales Engineering team unlocks and empowers prospects' full potential on the Plaid Network. We bring product expertise and drive Revenue outcomes by being customer-obsessed technical advisors in the pre-sales process.

As a Sales Engineer, you'll work closely with our Enterprise Sales team as the technical lead during the pre-sales process. You will be responsible for partnering with Account Executives, proactively pushing deals forward by overcoming technical objections and building solutions around Plaid products.

Responsibilities:

• Serve as the technical lead for Enterprise accounts throughout the sales process
• Partner with Account Executives to demonstrate to prospects how Plaid can best address their use cases and technical requirements
• Engage deeply with technical stakeholders in the pre-sales process to drive alignment and buy-in
• Provide demonstrations, address technical questions, architect implementation solution(s) and handle RFP responses in a thorough and expedient manner
• Take a hands-on role in POCs, where inquisitive and critical thinking is needed to identify, diagnose, and rectify any performance shortfalls
• Constantly re-evaluate selling assets and process to enable more efficient/effective messaging to customers
• Work with our engineering and product teams to translate prospect feedback into meaningful product insights
• Collaborate with current SE team to up-level team knowledge and capabilities

Requirements:

• 5-7+ years of customer-facing experience selling to large enterprises
• Familiarity with Identity Verification, stolen, synthetic, and first-party fraud or Income Verification, Cash Flow Underwriting
• Fluency in insights products and underlying statistical/ML models, translating analytical outputs into clear, actionable customer recommendations
• A strong sense of customer empathy
• A background that combines business experience and technical acumen
• Strong communications skills with a confident and proactive approach to client management
• Consultative mindset with ability to translate technical choices into business value
• Ability to quickly understand new technologies and complex concepts quickly
• Knowledge of mobile and web application architecture specific to interfacing with API platforms
• Willing and able to travel up to 25% of the time

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Plaid powers the tools millions of people rely on to live a healthier financial life. 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.

Responsibilities

• Build with impact. Your work will empower millions of users through well-known and emerging Fintech Applications with access to financial services.
• Experiment with cutting edge ML modeling techniques.
• Work on both 0-1 stage problems as well as 1-10.
• Develop AI/ML models in a full life cycle, from offline training to online serving and monitoring.
• Collaborate with teams across Plaid to define ML roadmap.
• Dive deep into data and apply data driven decisions in day-to-day work.
• A high ownership, bottom-up driven team.

Qualifications

• 5+ years in training and serving AI/ML models in a production environment.
• Experience in building/working with data intensive backend applications in large distributed systems.
• Ability to code and iterate independently on top of data infrastructure tools like Python, Spark, Jupyter notebooks, standard ML libraries, etc.
• Take pride in taking ownership and driving projects to business impact.
• Data analytics and data engineering experience is a plus.
• Experience with the industry application of NLP is a plus.
• Experience with the FinTech industry is a plus.
• Ability to work with technical and non-technical teams
• Master's degree or equivalent work experience in Computer Science, Mathematics, Engineering, or a closely related field.

Additional Information

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable.

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As a vital member of the Compliance team, you will have the opportunity to support the design, implementation, and optimization of compliance programs across all applicable Anchorage Digital legal entities.

You will work closely with various compliance functions, particularly Financial Crimes Compliance, to drive efficiency and effectiveness within the program.

Your expertise will be critical in transforming raw data into actionable insights, driving process improvements, and leveraging technology to enhance our overall compliance posture.

This role is ideal for a proactive and 'young and hungry' technologist who thrives on solving complex problems in a dynamic regulatory environment.

You'll gain deep exposure to diverse compliance domains and have the chance to apply your data expertise to strengthen Anchorage Digital's global compliance function through analytics, automation, and the strategic use of AI tools.

It is important that you are well-organized, have a strong analytical background, can effectively manage competing priorities, and can adapt to rapid change in a fast-paced environment.

If you thrive under uncertainty and are motivated to excel in a dynamic environment with competing priorities, this role is designed for you.

Anchorage Digital values individuals who are proactive, detail-oriented, and innovative.

Technical Skills:

• Expert in Compliance-related data tables and models, understanding the nuances of the data, the underlying codes, and the limitations of the models.

• Work with stakeholders to drive the automation of key compliance processes and workflows using internal tools, such as Know-Your-Customer, sanctions screening, suspicious activity identification and reporting to improve efficiency and reduce manual effort.

• Experience experimenting with and deploying AI solutions.

Complexity and Impact of Work:

• Support the development and enhancement of BSA/AML models, including transaction monitoring, sanctions screening, customer risk rating, blockchain analytics, and other relevant BSA/AML tools.

• Contribute to process improvements and best practices for the FCC Analytics team, including code review, testing frameworks, project management, and documentation.

• Conduct ad hoc analyses and respond to time-sensitive data requests from auditors, regulators, or other Compliance teams with accuracy and speed.

Organizational Knowledge:

• Develop deep understanding of Anchorage Digital's business model across custody, staking, stablecoins, and trading, and how data flows through these domains and the compliance models.

• Coordinate with cross-functional teams (Product, Engineering, etc.) to implement and improve tools and processes within the broader Compliance department.

• Understand how the Compliance and FCC team fits within the broader organizational structure, align work with team and company priorities.

Communication and Influence:

• Manage competing priorities across strategic projects and urgent ad-hoc requests; ask clarifying questions to scope ambiguous requests and push back constructively when requirements are unclear, proposing alternative approaches.

• Present findings and data insights with appropriate context, visual aids, and tailored communication style

You may be a fit for this role if you have:

• Experience: 2–3 years of experience in a data analytics or data science role, with a strong understanding of blockchain, cryptocurrency, and the financial services industry.

• Technical Proficiency: Demonstrated ability to operate autonomously to manage multiple competing priorities.

• Automation & AI Aptitude: Experience with or a strong interest in automation principles, leveraging existing AI tools, and exploring new AI tools (such as AI Agents) to enhance productivity.

• Technologist Mindset: While not necessarily an engineer, a strong understanding of how systems, data flows, and technologies interact is essential.

• Eagerness to learn and apply new technologies.

Although not a requirement, bonus points if:

• Prior experience in the financial service industry, crypto industry, start-up, or a fast-paced, evolving environment where you've worn multiple hats and adapted quickly;

• General understanding of regulatory compliance, financial crimes, and risk management.

• Experience with data transformation tools like dbt or similar; familiarity with version control (Git) and software engineering best practices for analytics

• Python or other scripting languages for data analysis, automation, or data pipeline work

• Excellent communication skills with experience presenting technical findings to both technical and non-technical stakeholders

• Proven ability to manage competing priorities and deliver accurate results under tight deadlines, especially for compliance or audit-related requests

• Detail-oriented and quality-focused with a commitment to data accuracy, testing, and documentation

• You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system.

Additional Information About Anchorage Digital:

Who we are

The Anchorage Village, what we call our team, brings together the brightest minds from platform security, financial services, and distributed ledger technology.

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As a Technical Marketing Engineer (TME), you will bridge the gap between Mistral AI's science/engineering organisations and our marketing teams. You will create technical content to educate enterprise decision-makers, align technical capabilities with business goals, and accelerate sales cycles.

Your role is critical in simplifying complex technical concepts, building trust, and driving adoption of our AI solutions.

Responsibilities

Create and Deliver Technical Content:

• Develop model/product technical launch materials, technical proof points, presentation decks, demo videos, webinars, workshops, blogs, whitepapers, and sales training materials.

Enable Sales and Partners:

• Equip sales teams and partners with technical knowledge to engage in deeper, more credible conversations with technical stakeholders.

Support Model Launches:

• Collaborate on model launches, ensuring technical messaging is clear and impactful.

Engage with Analysts and Industry Leaders:

• Participate in analyst briefings, technical advisory boards (TABs), and industry standards discussions to position Mistral AI as a thought leader.

Build Trust and Drive Adoption:

• Work with solutions architects and developer relations to ensure seamless integration and implementation of our solutions through targeted technical content.

Interface with Science and Engineering:

• Act as the technical liaison between engineering, science, and marketing teams, translating complex LLM concepts (including pre-training and post-training techniques) into actionable insights for enterprise audiences.

Who You Are

Experience:

• 3+ years in technical marketing, solutions engineering, or a similar role, preferably in AI/ML or enterprise software.

• Experience with large language models (LLMs), including pre-training and post-training techniques, is a strong plus.

Technical Skills:

• Ability to understand and communicate complex technical concepts to both technical and non-technical audiences.

• Familiarity with enterprise AI solutions, cloud environments, and technical sales enablement.

• Strong written and verbal communication skills, with a knack for storytelling and simplifying complexity.

Mindset:

• Collaborative, creative, and low-ego.

• Passionate about AI and its potential to transform industries.

Academic Background:

• Degree in Computer Science, Engineering, or a related technical field is preferred.

It Would Be Ideal If You:

• Have hands-on experience with AI/ML models, especially in a technical marketing or solutions engineering capacity.

• Are comfortable working in a fast-paced, innovative environment and thrive in cross-functional teams.

• Have a track record of creating technical content that drives adoption and accelerates sales cycles.

• Are based in or willing to relocate to Paris, EU.

What We Offer

FRANCE

• 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

UK

• Competitive cash salary and equity

• Health Insurance

• Transportation: Reimburse office parking charges, or 90GBP/month for public transport

• Sport: 90GBP/month allowance for gym membership

• Food: £200 monthly allowance (solution might evolve as we grow bigger)

• Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)

• Parental: Generous parental leave policy

• Visa sponsorship

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At Fuse Energy, we're on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system.

As the Head of Engineering (AI) at Fuse Energy, you will lead the development and integration of AI across our platform—from intelligent forecasting models and optimization algorithms to personalized customer experiences and internal automation.

Responsibilities

• Own the AI engineering roadmap and lead the development of AI-first features
• Productionize ML models, ensuring scalability, performance, and observability
• Design the infrastructure for deploying and maintaining ML systems in production (e.g., MLOps, CI/CD for ML, model versioning)
• Build systems that integrate AI into key parts of our stack, such as:
• Forecasting customer demand and renewable generation
• Dynamic pricing and energy trading algorithms
• Intelligent alerts and personalized customer features
• Work closely with product and engineering leadership to identify high-impact AI opportunities
• Build and lead a high-performing team of AI engineers

Requirements

• Strong software engineering background with 5+ years of experience, including at least 2 years leading AI/ML engineering teams
• Deep experience deploying ML models into production environments
• Proficiency in designing scalable data pipelines and real-time inference systems
• Understanding of modern ML tooling and frameworks (e.g., PyTorch, TensorFlow, MLflow, AWS SageMaker)
• Strong cross-functional collaboration skills, particularly with data science and product teams
• Clear communication and an ability to prioritize for both experimentation and reliability

Bonus

• Familiarity with optimization, time series modeling, or forecasting
• Experience with large language models (LLMs), RAG, or generative AI in production
• Background in MLOps or AI infrastructure at scale

Benefits

• Competitive salary and an equity sign-on bonus
• Biannual bonus scheme
• Fully expensed tech to match your needs
• Paid annual leave
• Breakfast and dinner allowance for office-based employees

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Responsibilities

• Own the strategy and roadmap for improving how we interpret and respond to user queries.
• Drive development of search quality models that optimize recall and precision.
• Define and build tools and metrics that help us measure and explain result quality.
• Collaborate closely with ML, infrastructure, and product teams across the stack.
• Lead investigation and triage when search quality issues arise and design long-term solutions.
• Benchmark our quality against competitors and push for continuous improvement.

Requirements

• Experience as a PM in search, machine learning, or NLP-focused products.
• Deep understanding of the search pipeline from tokenization to result ranking.
• Expertise with spelling correction, synonyms, LLMs, or search evaluation frameworks.
• Familiarity with production ML models (especially tradeoffs between real-time vs batch).
• A strong sense for quality and correctness, and how to measure them.
• Technical fluency and comfort working with engineering, data science, and ML Ops teams.

Benefits

• Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
• A competitive compensation package including stock options
• Company sponsored US health coverage (100% paid for employee)
• Fully remote team - choose where you live
• 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
• Parental leave for qualified employees
• Work with smart people who will help you grow and make a meaningful impact

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We're looking for desktop app engineers to join our Claude product team and help build native applications that harness the transformative power of advanced language models. Your mission will be to package our AI capabilities into elegant desktop experiences that put unprecedented capabilities at users' fingertips.

Responsibilities:

• Develop and maintain the core infrastructure and features within Claude.ai and in our Electron-based desktop app using a typical web stack (TypeScript, React)
• Use native code (Rust, Swift, C++) to bring advanced features to the desktop app, connecting Claude to macOS and Windows
• Optimise application performance, memory usage, and startup time across platforms
• Design and build robust update mechanisms and deployment pipelines
• Create monitoring tools to track application performance and user experience

You may be a good fit if you have:

• Have 5+ years of experience as a software engineer, with strong emphasis on desktop application development
• Have practical experience with Electron and deep understanding of its architecture
• Possess strong JavaScript/TypeScript skills and experience with modern frontend frameworks
• Take a product-focused approach and care about building solutions that are robust, scalable, and easy to use

Strong candidates may also have experience with:

• Experience working on and building operating systems, browsers, or deeply OS-integrated software (screensharing, video-calling, game engines, etc)
• Experience integrating and working with AI/ML models and understanding their capabilities
• Demonstrated success implementing cross-platform development strategies

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.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate.

Annual Salary:

$320,000 - $405,000USD

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

About the Role

We're looking for engineers to join a new effort building AI-powered products and capabilities for cybersecurity. You'll work across the stack to prototype new ideas and build from the ground up.

This role sits at the intersection of research, product, and go-to-market. You'll work closely with research teams to develop new model capabilities for security applications, prototype and iterate quickly to validate ideas, and engage directly with customers and partners to inform what we build. The right candidate has the technical depth to engage with research, the product instincts to know what's worth building, and the drive to move fast.

Responsibilities

• Prototype and build new AI-powered products for cybersecurity

• Iterate quickly based on customer feedback and what you learn

• Collaborate with research teams to identify and develop new model capabilities for security applications

• Engage directly with customers and partners to understand workflows and inform product direction

You may be a good fit if you:

• Have 7+ years of experience as a software engineer

• Experience developing cybersecurity products

• Enjoy fast iteration and are energized by prototyping new ideas

• Have strong product instincts and enjoy defining what to build, not just how to build it

• Are comfortable working closely with research and go-to-market teams

• Have strong communication skills and can work effectively across functions

Strong candidates may also have:

• Experience in incident response, reverse engineering, network analysis, penetration testing, or similar fields

• Experience working with AI/ML models and building products on top of them

• Experience building agentic applications

Deadline to apply:

None. Applications will be reviewed on a rolling basis.

Logistics

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

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

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

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

How we're different

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

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

Interested in building your career at Anthropic? Get future opportunities by following us on LinkedIn and Twitter.

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Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $347K – $490K • Offers Equity

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

• 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 Applied team safely brings OpenAI's technology to the world. Our team launched ChatGPT, Advanced Voice Mode, Deep Research, and many other products, supporting scalable infrastructure and driving safe, responsible deployment. Our customers rely on our APIs to build transformative products, while we ensure responsible usage and platform integrity.

The Integrity team, within Applied Engineering, safeguards our platform by proactively identifying misuse, preventing abuse, and protecting users. We're seeking an experienced, hands-on Engineering Manager (Web Safety) to shape the future direction, architect advanced system protections, and lead a focused team of senior Machine Learning Engineers (MLEs).

In this role, you will:

• Architect and build next-generation system protections, directly contributing through hands-on design, model training, and deployment strategies.

• Lead and manage a small, senior team of Machine Learning Engineers, empowering them with clear direction and autonomy.

• Collaborate closely with Research, Safety, Product, and Policy teams to leverage existing tools and drive cutting-edge advancements.

• Utilize state-of-the-art models to detect and prevent problematic content effectively.

• Establish robust evaluation frameworks and metrics, clearly measuring progress and identifying areas for improvement.

• Support your team's professional growth and maintain high performance through mentorship and clear career progression.

You might thrive in this role if you:

• Bring extensive hands-on experience managing machine learning teams, ideally in web safety, content integrity, or related domains.

• Have successfully trained, fine-tuned, or distilled LLMs and traditional ML models to solve real-world business problems.

• Enjoy being deeply involved technically—actively designing solutions, training models, and guiding deployment processes alongside your team.

• Excel at collaborating across teams to integrate existing tools and thoughtfully architect new solutions.

• Possess strong emotional intelligence, empathy, and the ability to effectively connect with colleagues.

• Embrace ambiguity and rapidly changing circumstances as opportunities to create clarity, structure, and impactful solutions.

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.

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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).

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Microsoft AI are looking for a talented Principal Software Engineer at their Redmond office. This role sits at the heart of building the next generation platform for Bing and Microsoft AI. You'll work directly with stakeholders to determine requirements, lead the identification of dependencies and the development of design documents, and drive project plans, release plans, and work items.

About the Role

The Microsoft AI Web Data team is looking for a Principal Software Engineer to help us build the next generation platform for Bing and Microsoft AI. In Web Data, we are on a mission to build the most vast, safe, and accurate model of the Web to power search and AI. We are pushing frontiers of scalability and index quality by creating models and systems for discovering, storing, processing Web content, protecting our users & platform from Spam, Scams, and malware by keeping a step ahead of bad actors, and operating AI solutions.

Accountabilities

• Partner with stakeholders within Safety, Web Data, and partner teams, to determine requirements, lead the identification of dependencies and the development of design documents, and drive project plans, release plans, and work items.
• Lead by example, and mentor other engineers to produce extensible, scalable, high performance, resilient, and maintainable design and code.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Experience with processing Terabyte to Petabyte scale data with efficient algorithms for feature engineering, and experience with optimizing for high inference ROI and deploying AI/ML models including, but not limited to, Decision Tree and Forest models, encoder only and generative LLM/SLM models, multi-modal models, on NVIDIA, AMD, TPU or equivalent accelerators.

Personal attributes:

• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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What you'll do

• Research and evaluate machine learning models across areas such as automatic speech recognition, natural language processing, and procedural content generation.
• Adapt and optimize models to meet gameplay requirements and platform constraints and integrate them into core game systems.

What you need

• Strong programming fundamentals with proficiency in at least one language (C++, Python, Java, or C# preferred).

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What you'll do

As a PhD Intern, you will:

• Perform a literature review
• Evaluate state-of-the-art methods
• Propose and experiment with novel approaches and methods
• Plan and build a proof-of-concept demonstration
• Write a technical report and share insights by giving presentations to the team

What you need

• Ongoing Ph.D. in Computer Science, Computer Graphics, Machine Learning, or any other relevant field
• Experience in using video data for training ML models
• Knowledge in 3D human pose and animation techniques
• You care about video games as a medium

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