LOCATION: San Francisco DEPARTMENT: Research JOB TYPE: Full time WORK ARRANGEMENT: Hybrid

JOB DESCRIPTION:

Compensation

• $380K – $445K • 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

Our Robotics team is focused on unlocking general-purpose robotics and pushing toward AGI-level intelligence in dynamic, real-world settings. Working across the full model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We aim to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve people’s lives.

About the Role

As a Research Engineer on the Robotics team, you will develop systems that enable robots to perceive, localize, and reconstruct the world in 3D from multi-camera and multimodal sensor data. You will work on real-time and offline perception pipelines used during teleoperation and robot data collection, as well as scalable systems for reconstructing and tracking 3D structure from large datasets.

We’re looking for people who combine strong fundamentals in computer vision with practical experience building robust perception systems. The ideal candidate is comfortable working across classical geometry-based approaches and modern machine learning methods, and enjoys collaborating closely with AI researchers and engineers.

This role is based in San Francisco, CA. We use a hybrid work model of 4 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Develop and deploy real-time localization and scene understanding systems used during robotic data collection with multi-camera sensor stacks and teleoperation platforms.

• Build systems for large-scale 3D reconstruction, point tracking, and scene alignment across massive datasets, enabling new approaches to world modeling and perception.

• Work with research and engineering teams to scale multi-view geometry pipelines to large datasets.

• Improve the accuracy, robustness, and scalability of perception systems used in robotics data collection and training pipelines.

• Collaborate across robotics, perception, and ML teams to integrate geometry-based methods with learned models.

You might thrive in this role if you:

• Have industry experience building real-time localization, 3D reconstruction, or visual perception systems in robotics, self-driving vehicles, AR/VR headsets, mapping, or other real-world environments.

• Have a deep understanding of multi-view geometry, camera calibration, bundle adjustment, feature tracking, structure-from-motion, and sources of error in real-world sensor systems.

• Have experience with large-scale data processing pipelines or are excited to learn and work with infrastructure that supports large datasets.

• Enjoy working in fast-moving environments and collaborating closely with engineers and researchers to ship systems quickly.

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.

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through [this form](https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA). No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this [link](https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241).

[OpenAI Global Applicant Privacy Policy](https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf)

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation Range: $380K - $445K

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Key Responsibilities:

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

Requirements:

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

Nice to Have:

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

Relocation Statement:

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

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

Key responsibilities include:

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

Requirements:

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

Nice to have:

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

Relocation Statement:

This position is not eligible for relocation assistance.

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About Starburst

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

About the role

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

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

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

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

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

Responsibilities

• Build backend features used by real customers

• Work on scalable, distributed systems

• Ship code early and often

• Learn modern backend technologies in practice

• Collaborate with engineers across different time zones

• Tackle real-world performance and reliability challenges

What we’re looking for

• You’re excited about backend engineering

• You’ve coded in Java

• You like solving hard problems

• You take ownership and get things done

• You’re curious and learn fast

• You’re a rising Senior or recent graduate

Benefits

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

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

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

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Software Engineer, Backend (Knowledge Innovation)

Location

San Francisco; Seattle

Employment Type

Full time

Department

Applied AI

Compensation

• $230K – $385K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

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

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

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

In this role, you will:

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

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

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

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

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

You might be a great fit if you have:

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

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

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

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

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

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

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San Francisco; Seattle

Employment Type

Full time

Department

Applied AI

Compensation

• $230K – $385K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the Team

The Support Automation team at OpenAI scales the organization by applying cutting-edge AI models to real-world challenges, automating and enhancing work across the organization. From customer operations to engineering, we develop an ecosystem of automation products that empower our colleagues and drive impact. We're passionate about crafting products that serve those around us, blending rapid prototyping with a focus on long-term quality and reliability. By creating reusable solutions, we create patterns that can be applied across diverse domains within OpenAI.

TLDR: this team leverages OpenAI technology to improve OpenAI, and you’ll have the opportunity to leverage the full extent of our tech (both public and pre-released) to accomplish this mission.

About the Role

We’re looking for a Backend Software Engineer with experience working in ML/LLM-heavy domains to help to design and build an evals infrastructure that measures the quality of OpenAI’s support automation. This is a deeply technical and highly cross-functional role where you’ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI. The role will especially focus on working closely with Data Science and Research partners to design and build evals at scale.

In this role, you will:

• Design eval pipelines that are reliable, reproducible, and extendable

• Build the infrastructure for continuous eval monitoring frameworks (regression/drift monitoring, building robust golden datasets) along with feedback loops that ultimately strengthen support automation

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

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

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

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

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

You might be a great fit if you have:

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

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

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

• Have experience building AI agents or applications, including designing evals and improving performance through prompting or scaffolding

• Are familiar with evaluation methods for LLMs and have worked with patterns like multi-agent workflows, tool use, or long context.

• Experience creating production evals and/or measuring performance of ML/LLM models at scale

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

About OpenAI

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

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