About the Team

OpenAI's Legal team plays a crucial role in furthering OpenAI's mission by tackling innovative, fundamental legal issues in AI. If you're passionate about doing significant and unique work as a technology lawyer, this team is for you. The team comprises professionals from diverse fields, including technology, AI, privacy, IP, corporate, employment, tax law, regulatory, and litigation.

About the Role

Our team is seeking a highly experienced lawyer to join our founding EMEA Legal team and establish our legal operations in the region. This role will be instrumental in overseeing commercial, regulatory, and product matters. You will work closely with several teams, such as Global Affairs, Product/Privacy Legal, Go To Market, and technical staff. This role will also help us build a European legal team over time.

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

In this role, you will:

• Oversee commercial negotiations with EMEA customers to ensure favorable terms and compliance with local laws.
• Understand, prepare for, and ensure compliance with EU regulatory frameworks, including the EU AI Act, DSA, and product liability directives.
• Collaborate with other legal team members on EMEA-centric privacy, security, product, and compliance issues.
• Work closely with the Public Policy team to address and influence European policy issues.

You might thrive in this role if you have:

• 12+ years of legal experience, with significant experience in a fast-paced tech company.
• Excellent communication skills; ability to convey complex legal issues in straightforward manners relevant to your audience.
• A proactive approach, willing and able to quickly learn and adapt to new legal areas as needed.
• An unflappable demeanor; should be able to handle high-pressure situations gracefully and serve as an OpenAI ambassador.
• Strong recruiting and managerial skills for building and leading a European legal team.
• A qualifying law degree (LLB), Juris Doctor (JD), or equivalent legal qualification.
• Admission to practice law in at least one EMEA jurisdiction.

About the Interview Process

We expect to receive applications and conduct interviews through September and onboard a new hire in October. The interview process will include a writing sample and various virtual interviews with our team. This timeline is subject to change.

Compensation, Benefits and Perks

Total compensation includes competitive salary, generous equity and benefits.

• Private medical insurance covering 100% of premiums for employees and their dependents
• Pension plan with 4% employer contribution
• 52 weeks maternity leave and 20 weeks parental leave
• Unlimited time off
• Annual learning & development stipend (£1,200 per year)

OpenAI is committed to promoting equal opportunities in employment. You and any job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation, or any other legally protected status.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

This is a position with OpenAI UK Ltd., which controls the hiring and management of this position.

OpenAI UK Applicant Privacy Policy

About the Team

The Multimodal Team focuses on building A.I. systems that leverage modalities outside of pure-text, including images, audio, and video. Recent accomplishments from the team include the integration of visual inputs into GPT-4, the development of the Whisper speech recognition system, and the creation of the foundational text-image contrastive model known as CLIP.

We are initiating a new project within the team, focused on applying these models to interact with the world through a general interface, and to solve complex real-world problems.

About the Role

As a Systems Software Engineer, you will be responsible for building and maintaining an infrastructure for environments where our A.I. models can interact safely and efficiently. You will closely collaborate with other team members to execute a common research agenda.

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

In this role, you will:

• Architect, build, and maintain an infrastructure for the environments that scale.
• Optimize the infrastructure for speed and efficiency (e.g. by fine-tuning resource allocation, networking, and storage).
• Collaborate closely with other researchers and engineers to integrate your work into our larger system and to support continually emerging research needs.
• Troubleshooting any issues that arise and making sure the infrastructure is stable and reliable.

You might thrive in this role if you:

• Have strong programming skills in Python, C/C++, or another relevant language
• Have experience in systems software engineering, with a focus on virtualization, containerization, and sandboxing
• Have a good understanding of computer systems and networks
• Have experience with tools such as Docker, Kubernetes, and VirtualBox
• Have experience in distributed systems
• Enjoy fast-paced, collaborative, and cutting-edge research environments
• Take ownership of problems from start to finish, and be proactive to acquire any necessary knowledge to accomplish tasks
• Have a collaborative mindset and a willingness to work as part of a team towards a common goal

Compensation, Benefits and Perks

Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

About the team

The Policy Research team at OpenAI is responsible for understanding our company’s current and potential impact on the world, and using that understanding to recommend the best possible policies at OpenAI and elsewhere (“policies” are defined broadly to include laws, safety requirements, industry norms, etc.). Team members have backgrounds in a wide variety of disciplines, including computer science and engineering, law, philosophy, economics, political science, and more, and we use a wide variety of quantitative and qualitative methods to measure, forecast, and analyze OpenAI’s impacts.

About the role

We’re seeking an experienced machine learning researcher to shape and lead the ML research agenda for trustworthy AI.

This is an opportunity to pioneer and prototype new approaches for testing and evaluating the most advanced AI systems – and to harness the most advanced AI systems to do so. The role will include research on the development of novel evaluation methods and interventions for things like dangerous model capabilities and existential risks, fairness and representation, as well as untruthful, hallucinatory, or otherwise undesired model behavior.

If you enjoy tackling deep questions in ML research, thrive in roles where ambitious entrepreneurial pursuit of open-ended goals is rewarded, and are strongly motivated to contribute to the roll-out of advanced general AI systems going well, you will find our work here uniquely challenging and rewarding. This role reports to our Trustworthy AI lead.

This role is based in our San Francisco HQ. We offer relocation assistance to new employees.

In addition, you’ll:

• Research upstream interventions at the level of training data, pre-training, and training
• Research and prototype novel evaluation methods in areas such as dangerous model capabilities and existential risks, fairness and representation, as well as untruthful, hallucinatory, or otherwise undesired model behavior.
• Work with downstream product and infrastructure teams to build and scale effective tools for responsible deployment
• Develop and mentor ML Researchers on the Deployment Planning team
• Architect and develop interventions that improve real world impact

We Expect You To:

• Have a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects
• Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects
• Have experience developing novel techniques for ML model measurement and mitigation
• Have experience in research mentorship, leading project teams, and setting technical direction
• Be comfortable working cross functionally across both research and product teams

Nice to Haves:

• Past experience in interdisciplinary research collaborations
• Past experience in creating high-performance implementations of deep learning algorithms

Compensation, Benefits and Perks

The annual salary range for this role is $200,000 – $370,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

About the Team

OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires effective engagement with public policy stakeholders and the broader community impacted by AI. Accordingly, our Public Policy team builds authentic, collaborative relationships with public officials and the broader AI policymaking community to inform and support our shared work in these domains. We ensure that insights from policymakers inform our work and - in collaboration with our colleagues and external stakeholders - seek to further regulation, industry standards, and safe and beneficial development of AI tools.

About the Role

As the Congressional Lead on the Public Policy team, you will develop strategies and lead OpenAI’s engagement with the U.S. Congress, including developing and managing relationships with House and Senate lawmakers and staff. You will support OpenAI leadership in meetings, briefings, hearings and other engagements with Congress. You will also facilitate collaboration with civil society and industry partners relevant to Congressional engagement and in alignment with OpenAI’s mission.

OpenAI releases industry-leading research and tools. You will face new challenges as the impact of cutting edge generative AI technologies continues to be explored and as the needs of the organization evolve. Day-to-day work may encompass anything from helping to shape strategic initiatives and policy documents to preparing our leaders for engagements with government officials or representing OpenAI in private and public forums.

We are looking for a self-directed and creative individual with significant Capitol Hill experience, experience managing private sector and civil society relationships, plus a sophisticated understanding of AI-related legislative and regulatory issues and processes. Technical skills relating to generative AI models are highly desirable.

This role is based in Washington, DC and may require frequent travel to participate in meetings and events with key stakeholders. We offer relocation assistance to new employees.

You should thrive in this role if you:

• Are well versed in the issues around emerging AI technologies, especially in the U.S. Congressional context.
• Are an enthusiastic and effective coalition builder who thrives as a member of a high performing, peer-led global team.
• Are highly organized, and are used to working as an accountable individual contributor as well as a team player.
• Are passionate about the promise of technology and the future of artificial intelligence but thoughtful about its potential risks.

We're looking for a blend of:

• Established Capitol Hill network and credibility with colleagues on both sides of the aisle in the House and Senate.
• Demonstrated knowledge and understanding of the U.S. political system, institutions, and processes, and the key policy issues and debates related to AI
• Experience managing relationships with civil society, researchers and other stakeholders, including underrepresented groups
• Deep experience in technology policy
• Track record of effectively working with cross-functional teams, especially engineering and research teams, and aligning a diverse range of internal and external partners
• Sound judgment and outstanding personal integrity
• Ability to execute in fast and flexible environments through rapid cycles of analysis, decision, and action
• Excellent communication, presentation, and interpersonal skills, with the ability to convey complex technical and policy concepts to diverse audiences
• Strong strategic thinking, problem-solving, and project management skills
• Genuine care and knowledge about the impact of technology on society
• Previous work on AI issues and technical AI development expertise a significant plus

Compensation, Benefits and Perks

The annual salary range for this role is $180,000 – $230,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

About the Team

In order to fulfill OpenAI’s ambitious technical mission, we must hire an incredibly talented, hard-working, mission-aligned, and diverse team. The Recruiting team at OpenAI works cross-functionally with all hiring managers throughout the organization to find and close incredible talent, provide an excellent candidate experience, and maintain our high hiring bar.

About the Role

As the Business Recruiting Manager at OpenAI, you will spearhead the recruitment strategy for non-technical roles across our Communications, Finance, Legal, Operations, and People (C-FLOPs) teams. Your focus will center on devising and executing effective recruiting strategies, cultivating robust relationships with hiring leaders and nurturing a high-performing team of recruiters and sourcers.

The ideal candidate is a seasoned leader who will establish the recruiting vision and strategy for our next growth stage in C-FLOPs. You’ll not only foster a collaborative environment, where no challenge is too great when tackled together but also embody a spirit of intense determination, paired with a willingness to delve into the details of mission-critical tasks as needed.

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

In this role, you will:

• Craft the strategy and visions for recruitment activities. You will be responsible for optimizing the organization and practices of the team to drive results. You’ll define and iterate on recruiting goals and key performance indicators.
• Manage a team of recruiters and sourcers building a best-in-class team that maintains a culture of high performance, growth mindset, radical ownership, collaboration, and inclusion that will enable our brilliant team to do their best work.
• Partner with executives and hiring managers to develop a deep understanding of our business's current and future hiring needs and develop strategies to fulfill those needs.
• Be a recruiting advisor and partner to the leadership team and be an essential driver of recruiting excellence across the organization.
• Propose and run experiments to find novel techniques and solutions for challenging recruiting problems.
• Ensure that we offer a best-in-class candidate experience.

We’re looking for a blend of:

• 10+ years of progressive experience in recruiting and 4+ years experience in a leadership or management position
• Previous experience recruiting for research related roles or managing a recruiting team responsible for research hiring
• Demonstrable success leading strategy and driving execution to hire top-tier talent for a premier tech company and/or high-growth startup, including hiring talent in extremely niche talent markets
• Strong leadership skills with a demonstrated ability to influence management and contributors at all levels of the organization and across functions
• A proactive leader with a strong track record in building high-functioning recruiting organizations
• Exemplary analytical, verbal / written communication, and interpersonal skills

You might thrive in this role if you:

• Are a strategist. You deeply understand recruiting best practices and have experience advocating for and implementing those practices, but you know when and how to customize practices to fit our organization’s needs best. You think and plan forward on the order of years.
• Are a people-person. You are energized by interacting with people and build deep cooperative relationships readily. You are inspired by helping people achieve their best work and enjoy coaching and developing others. You are deeply empathetic and understand how to incentivize people toward desired behaviors based on their unique motivations.
• Are a builder and a completionist. You not only embrace the opportunity to impact how a company operates directly, but you also revel in it. An organization relies on the quality of its foundation, and your passion is building strong systems and processes from the ground up and executing them with precision to completion.
• Are excited by new challenges. You don’t have the answers to every question up front, but the process of solving them invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You’re willing to experiment with new solutions.
• Care deeply about diversity, equity, and inclusion. You understand why investing in DEI is a good business decision and why it’s vitally important to developing safe and universally beneficial AGI.
• Passion or deep curiosity in technology and artificial intelligence

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

Compensation, Benefits and Perks

Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

About the Team

In order to fulfill OpenAI’s ambitious technical mission, we must hire an incredibly talented, hard-working, mission-aligned, and diverse team. The Recruiting team at OpenAI works cross-functionally with all hiring managers throughout the organization to find and close incredible talent, provide an excellent candidate experience, and maintain our high hiring bar.

About the Role

As Executive Recruiting Manager, you will lead the Executive Recruiting team at OpenAI. This role is pivotal in identifying, engaging and attracting top executive talent to OpenAI. You will work closely with executive leadership across all functions to understand their hiring needs and develop recruiting strategies to fulfill executive-level roles. You will lead and grow a high-performing team of executive recruiters and sourcers, fostering a high performance culture.

We are looking for a seasoned leader who will establish the recruiting vision and strategy for our next growth stage and see them through to exemplary execution. The ideal candidate will combine extensive experience managing executive recruiting strategies and activities for high-performing tech organizations. You will play a key role in championing those values and acting as a culture carrier and change agent, inspiring confidence, motivation, and engagement from the organization and developing strong collaborative relationships to drive extraordinary results.

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

In this role, you will:

• Craft the strategy and visions for recruitment activities. You will be responsible for optimizing the organization and practices of the team to drive results.
• Manage a team of executive recruiters and sourcers building a best-in-class team that maintains a culture of absurdly high performance, growth mindset, radical ownership, collaboration, and inclusion that will enable our brilliant team to do their best work.
• Partner with executives to develop a deep understanding of our business's current and future hiring needs and develop strategies to fulfill those needs.
• Be a recruiting advisor and partner to the leadership team and be an essential driver of recruiting excellence across the organization.
• Propose and run experiments to find novel techniques and solutions for challenging recruiting problems.
• Ensure that we offer a best-in-class candidate experience

We’re looking for a blend of:

• 10+ years of progressive experience in recruiting and 4+ years experience in a leadership or management position in executive recruiting
• Demonstrable success leading strategy and driving execution to hire top-tier talent for a premier tech company and/or high-growth startup, including hiring talent in extremely niche talent markets
• Strong leadership skills with a demonstrated ability to influence management and contributors at all levels of the organization and across functions
• A proactive leader with a strong track record in building high-functioning recruiting organizations
• Exemplary analytical, verbal / written communication, and interpersonal skills

You might thrive in this role if you:

• Are a strategist. You deeply understand recruiting best practices and have experience advocating for and implementing those practices, but you know when and how to customize practices to fit our organization’s needs best. You think and plan forward on the order of years.
• Are a people-person. You are energized by interacting with people and build deep cooperative relationships readily. You are inspired by helping people achieve their best work and enjoy coaching and developing others. You are deeply empathetic and understand how to incentivize people toward desired behaviors based on their unique motivations.
• Are a builder and a completionist. You not only embrace the opportunity to impact how a company operates directly, but you also revel in it. An organization relies on the quality of its foundation, and your passion is building strong systems and processes from the ground up and executing them with precision to completion.
• Are excited by new challenges. You don’t have the answers to every question up front, but the process of solving them invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You’re willing to experiment with new solutions.
• Care deeply about diversity, equity, and inclusion. You understand why investing in DEI is a good business decision and why it’s vitally important to developing safe and universally beneficial AGI.
• Passion or deep curiosity in technology and artificial intelligence

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

Compensation, Benefits and Perks

Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

About the Team

In order to fulfill OpenAI’s ambitious technical mission, we must hire an incredibly talented, hard-working, mission-aligned, and diverse team. The Recruiting team at OpenAI works cross-functionally with all hiring managers throughout the organization to find and close incredible talent, provide an excellent candidate experience, and maintain our high hiring bar.

About the Role

As Recruiting Manager, you will lead recruiting strategy for the Research team of OpenAI. Your primary focus will be on developing and implementing effective recruiting strategies, building strong relationships with research and engineering professionals, and ensuring a seamless hiring process from start to finish. You will work across our Research teams supporting them at all levels of hiring. You will lead and grow a high-performing team of sourcers and recruiters to recruit and close the extraordinary talent we need to fulfill our mission.

We are looking for a seasoned leader who will establish the recruiting vision and strategy for our next growth stage and see them through to exemplary execution. The ideal candidate will combine extensive experience managing recruitment activities for high-performing tech organizations. You will play a key role in championing those values and acting as a culture carrier and change agent, inspiring confidence, motivation, and engagement from the organization and developing strong collaborative relationships to drive extraordinary results.

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

In this role, you will:

• Craft the strategy and visions for recruitment activities. You will be responsible for optimizing the organization and practices of the team to drive results. You’ll define and iterate on recruiting goals and key performance indicators.
• Manage a team of recruiters and sourcers building a best-in-class team that maintains a culture of absurdly high performance, growth mindset, radical ownership, collaboration, and inclusion that will enable our brilliant team to do their best work.
• Partner with executives and hiring managers to develop a deep understanding of our business's current and future hiring needs and develop strategies to fulfill those needs.
• Be a recruiting advisor and partner to the leadership team and be an essential driver of recruiting excellence across the organization.
• Propose and run experiments to find novel techniques and solutions for challenging recruiting problems.
• Ensure that we offer a best-in-class candidate experience.

We’re looking for a blend of:

• 10+ years of progressive experience in recruiting and 4+ years experience in a leadership or management position
• Previous experience recruiting for research related roles or managing a recruiting team responsible for research hiring
• Demonstrable success leading strategy and driving execution to hire top-tier talent for a premier tech company and/or high-growth startup, including hiring talent in extremely niche talent markets
• Strong leadership skills with a demonstrated ability to influence management and contributors at all levels of the organization and across functions
• A proactive leader with a strong track record in building high-functioning recruiting organizations
• Exemplary analytical, verbal / written communication, and interpersonal skills

You might thrive in this role if you:

• Are a strategist. You deeply understand recruiting best practices and have experience advocating for and implementing those practices, but you know when and how to customize practices to fit our organization’s needs best. You think and plan forward on the order of years.
• Are a people-person. You are energized by interacting with people and build deep cooperative relationships readily. You are inspired by helping people achieve their best work and enjoy coaching and developing others. You are deeply empathetic and understand how to incentivize people toward desired behaviors based on their unique motivations.
• Are a builder and a completionist. You not only embrace the opportunity to impact how a company operates directly, but you also revel in it. An organization relies on the quality of its foundation, and your passion is building strong systems and processes from the ground up and executing them with precision to completion.
• Are excited by new challenges. You don’t have the answers to every question up front, but the process of solving them invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You’re willing to experiment with new solutions.
• Care deeply about diversity, equity, and inclusion. You understand why investing in DEI is a good business decision and why it’s vitally important to developing safe and universally beneficial AGI.
• Passion or deep curiosity in technology and artificial intelligence

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

Compensation, Benefits and Perks

Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

About the Team

In order to fulfill OpenAI’s ambitious technical mission, we must hire an incredibly talented, hard-working, mission-aligned, and diverse team. The Recruiting team at OpenAI works cross-functionally with all hiring managers throughout the organization to find and close incredible talent, provide an excellent candidate experience, and maintain our high hiring bar.

About the Role

As a Recruiting Operations Lead/Manager, you will drive the recruiting operations strategy for OpenAI. We're on the hunt for a seasoned leader with a vision—one who can set the strategic direction for recruiting operations as we enter our next phase of growth. Your extensive experience in managing recruitment operations for high-achieving tech organizations will be your greatest asset. As a key culture carrier and change agent, you will inspire the organization, fostering a climate of motivation, engagement, and exceptional performance.

We’re looking for people who are passionate about creating a seamless and effective recruiting process by leveraging technology and data-driven insights. If you enjoy leading by example, coaching a team of individual contributors, and have a knack for identifying key metrics that drive recruiting success, then this role is for you.

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

In this role, you will:

• Act as both a player and a coach, leading a team of up to 5 Individual Contributors (ICs) responsible for various recruiting-related activities.
• Equip our recruiting team with the most effective tools for each step of the recruiting process, ensuring optimal use of our current recruiting stack including Greenhouse, Gem, and GoodTime.
• Monitor OKRs to evaluate recruiting effectiveness, identify trends, and recommend improvements where necessary.
• Predict future talent needs and set measurable goals to ensure that the recruiting team's efforts are aligned with organizational growth.
• Work closely with hiring managers, HR, and other key stakeholders to ensure a cohesive approach to recruiting and onboarding.
• Review and refine recruiting processes to enhance efficiency, candidate experience, and hiring manager satisfaction.

We’re looking for a blend of:

• 5+ years of experience in recruiting, with a focus on university recruiting
• Demonstrable success leading strategy and driving execution to hire top-tier talent for a premier tech company and/or high-growth startup, including hiring talent in extremely niche talent markets
• Strong leadership skills with a demonstrated ability to influence management and contributors at all levels of the organization and across functions
• A proactive leader with a strong track record in building high-functioning recruiting organizations
• Exemplary analytical, verbal / written communication, and interpersonal skills

You might thrive in this role if you:

• Have Hands-on Experience: With our current recruiting stack, particularly Greenhouse, Gem, and GoodTime. Experience with Ashby and Workday (HRIS) is a plus.
• Are Data-Driven: You have a strong affinity for numbers and can translate metrics into actionable strategies to continually optimize the recruiting process.
• Excel in Leadership: You have a proven ability to inspire, lead, and grow a team, fostering a culture of collaboration and continuous learning.
• Are Adaptable and Proactive: You can adjust to changing priorities and foresee issues before they become roadblocks.
• Prioritize Communication: You're an exceptional communicator capable of effectively engaging with all levels within an organization, from individual contributors to executives.
• Passion or deep curiosity in technology and artificial intelligence

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

Compensation, Benefits and Perks

Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

About the Team

In order to fulfill OpenAI’s ambitious technical mission, we must hire an incredibly talented, hard-working, mission-aligned, and diverse team. The Recruiting team at OpenAI works cross-functionally with all hiring managers throughout the organization to find and close incredible talent, provide an excellent candidate experience, and maintain our high hiring bar.

About the Role

As University Recruiting Lead, you will establish and spearhead our university recruiting initiatives. This role presents an exciting opportunity to build a robust university recruiting program from scratch, fostering enduring relationships with prestigious universities, and attracting the brightest emerging talent to OpenAI.

We are looking for a seasoned hands on leader who will establish the University recruiting vision and strategy for our next growth stage and see them through to exemplary execution. The ideal candidate will combine experience building and managing university recruitment strategies for high-performing tech organizations from scratch. You will play a key role in championing those values and acting as a culture carrier and change agent, inspiring confidence, motivation, and engagement from the organization and developing strong collaborative relationships to drive extraordinary results.

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

In this role, you will:

• Design, implement, and lead an extensive university recruiting strategy to attract top-tier early-career talent from national and international universities and colleges.
• Establish and nurture partnerships with key universities, faculty members, and student organizations, positioning OpenAI as the best employer of choice.
• Oversee the full-cycle university recruiting process, including campus engagement, interviews, offer management, and the coordination of internship programs.
• Organize and participate in university recruitment events, job fairs, and on-campus interviews, promoting our brand and opportunities to prospective candidates.
• Develop and sustain a strong internship program that provides meaningful experiences for interns and value to OpenAI.
• Monitor, analyze, and report on university recruiting metrics to continually evaluate and refine our recruiting strategies.
• Train and mentor team members involved in university recruiting efforts, ensuring a high level of competency and enthusiasm towards university recruiting.
• Partner with hiring leaders to develop a deep understanding of our business's current and future hiring needs and develop university recruitment strategies to fulfill those needs.
• Propose and run experiments to find novel techniques and solutions for challenging recruiting problems.

We’re looking for a blend of:

• 5+ years of experience in recruiting, with a focus on university recruiting
• Demonstrable success leading strategy and driving execution to hire top-tier talent for a premier tech company and/or high-growth startup, including hiring talent in extremely niche talent markets
• Strong leadership skills with a demonstrated ability to influence management and contributors at all levels of the organization and across functions
• A proactive leader with a strong track record in building high-functioning recruiting organizations
• Exemplary analytical, verbal / written communication, and interpersonal skills

You might thrive in this role if you:

• Are a strategist. You deeply understand recruiting best practices and have experience advocating for and implementing those practices, but you know when and how to customize practices to fit our organization’s needs best. You think and plan forward on the order of years.
• Are a people-person. You are energized by interacting with people and build deep cooperative relationships readily. You are inspired by helping people achieve their best work and enjoy coaching and developing others. You are deeply empathetic and understand how to incentivize people toward desired behaviors based on their unique motivations.
• Are a builder and a completionist. You not only embrace the opportunity to impact how a company operates directly, but you also revel in it. An organization relies on the quality of its foundation, and your passion is building strong systems and processes from the ground up and executing them with precision to completion.
• Are excited by new challenges. You don’t have the answers to every question up front, but the process of solving them invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You’re willing to experiment with new solutions.
• Care deeply about diversity, equity, and inclusion. You understand why investing in DEI is a good business decision and why it’s vitally important to developing safe and universally beneficial AGI.
• Passion or deep curiosity in technology and artificial intelligence

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

Compensation, Benefits and Perks

Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

About the Team

Our Team is responsible for the “post-training” or alignment of ChatGPT. We integrate various improvements from the rest of the company into our RLHF process ultimately producing the models used by millions of users both in the ChatGPT product and API.

About the Role

One of the most important parts of training ChatGPT is building and training on extremely high quality datasets. We are looking for somebody to help us build infrastructure to manage this data! In contrast to most data engineering, dataset size is not the key factor here – instead we aim to bring more insight and continually increase the quality of our training data.

Ideal candidates should have a strong technical background and general knowledge. Given how coupled our data systems are with the underlying models, candidates should have some familiarity with ML / ML Engineering but no formal research background is required.

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

In this role, you will:

• Build systems and tools for researchers to look at and transform datasets.
• Co-design and build experimental primitives used to construct data pipelines to train prototype ChatGPT models.
• Work with the ChatGPT product team building distributed pipelines to look at and understand large scale usage data.
• Help with other, more out there research ideas involving data pipelines.

You might thrive in this role if you:

• Are a team player – willing to do a variety of tasks that move the team forward.
• Experience working in complex technical environments
• Enjoy working in a more research setting – these data systems are new and the right solution is often not clear ahead of time.
• Experience with the Python
• Experience with Kubernetes / distributed infrastructure
• Experience with 1 or more large scale data system such as beam or spark.

Compensation, Benefits and Perks

The annual salary range for this role is $310,000 – $385,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

Compensation, Benefits and Perks

Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

About the Team

Our team is responsible for the “post-training” or alignment of chatGPT. We integrate various improvements from the rest of the company into our RLHF process ultimately producing the models used by millions of users both in the ChatGPT product and API.

About the Role

We're seeking an engineer skilled in managing complex technical components, from GPU kernel optimization to front-end evaluation interface development, to support our ChatGPT model's post-training and alignment processes. Challenges are inevitable due to the process complexity; thus, a candidate with a robust technical foundation in data technologies, distributed systems, and reliable software development is desired. Familiarity with ML or ML Engineering is an advantage but not a requirement.

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

In this role, you will:

• Be responsible for unblocking and keeping our systems running smoothly.
• Be willing to dive into large codebases to debug.
• Be responsible for keeping very large ML training jobs going smoothly.
• Fixing a variety of non-ml software things involving data quality, data prep, job startup speed, CI performance for our team’s tests, and so on.
• Sample projects include:
• Figuring out why a new cluster suddenly has 10% of experiments fail.
• Diagnosing and fixing regressions in our data pipelines.
• Fixing 30% slowdown in our RLHF training code.

You might thrive in this role if you:

• Are a team player – willing to do a variety of tasks that move the team forward.
• Experience working in complex technical environments
• Experience debugging ML systems.
• Experience with Reinforcement learning and or transformers
• Experience with the Python
• Experience with Kubernetes / distributed infrastructure
• Experience with GPU’s
• Experience with 1 or more large scale data system such as beam or spark.

Compensation, Benefits and Perks

The annual salary range for this role is $310,000 – $385,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

Compensation, Benefits and Perks

Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

About the Team

The Platform Runtime team builds core components to enable productive research from small to state of the art scale across OpenAI, with the goal of accelerating progress towards AGI. We frequently collaborate with other teams to speed up the development of new state-of-the-art capabilities.

About the Role

As we scale up with more researchers and engineers joining OpenAI, we seek a pragmatic and passionate engineer with a strong focus on the development experience for both engineers and scientists.

In this role, you will be responsible for building and maintaining systems that allow our research + engineering organization to iteratively develop, test, and deploy new features reliably, with high velocity, and with a frictionless and fast development cycle.

You will help oversee and drive to the vision of how we should build, test and deploy software. You will drive the design of our continuous integration pipelines, testing infrastructure, training and support around our build system. Our current environment relies heavily on Python, Rust, and C++, which you will take ownership of and strive to transform into a state of the art development experience for research.

Ultimately, your role will be to provide the necessary tools and metrics to support our fast-paced culture and ensure a stable, scalable platform for growth, while also fostering a seamless and low friction experience for OpenAI’s research.

This role can be either remote or based in San Francisco, CA. For a San Francisco role, we use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

You might thrive in this role if you:

• Have supported large monorepo deployments before
• Are a proficient Python programmer, with experience using Rust in production
• Are proficient with Kubernetes

Compensation, Benefits and Perks

The annual salary range for this role is $245,000 – $385,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

About the Team

Our mission at OpenAI is to discover and enact the path to safe, beneficial AGI. To do this, we believe that many technical breakthroughs are needed in generative modeling, reinforcement learning, large scale optimization, active learning, among other topics.

About the Role

As a Software Engineer, you will help build AI systems that can perform previously impossible tasks or achieve outstanding levels of performance. This requires good engineering (for example designing, implementing, and optimizing state-of-the-art AI models), writing bug-free machine learning code (surprisingly difficult!), and building the science behind the algorithms employed. In all the projects this role pursues, the ultimate goal is to push the field forward.

The Research Acceleration team builds high-quality research tools and frameworks to increase research productivity across OpenAI, with the goal of accelerating progress towards AGI. For example, we develop Triton, a language and compiler for writing custom GPU kernels. The aim of Triton is to provide an open-source environment to write fast code at higher productivity than CUDA.

We frequently collaborate with other teams to speed up the development of new state-of-the-art capabilities. For example, we recently collaborated with our Codegen research team on the Codex model, which can generate code in Python and many other languages.

Do you love research tools, compilers, and collaborating on cutting-edge AI models? If so, this role is for you! We are looking for people who are self-directed and enjoy determining the most meaningful problem to solve in order to accelerate our research.

We're looking for a track record of:

• 3+ years of relevant engineering experience
• Owning problems end-to-end, with a willingness to pick up whatever knowledge is missing to get the job done
• Bonus: contributions to an AI framework such as PyTorch or Tensorflow, or compilers such as GCC, LLVM, or MLIR

Compensation, Benefits and Perks

The annual salary range for this role is $200,000 – $370,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

About the Team

The Platform ML team builds the ML side of our state-of-the-art internal training framework used to train our cutting-edge models. We work on distributed model execution as well as the interfaces and implementation for model code, training, and inference. Our priorities are to maximize training throughput (how quickly we can train a new model) and researcher throughput (how quickly we can develop new models) with the goal of accelerating progress towards AGI. We frequently collaborate with other teams to speed up the development of new capabilities.

About the Role

As a Distributed Systems/ML engineer, you will work on improving the training throughput for our internal training framework, while enabling researchers to experiment with new ideas. This requires good engineering (for example designing, implementing, and optimizing state-of-the-art AI models), writing bug-free machine learning code (surprisingly difficult!), and acquiring deep knowledge of the performance of supercomputers. In all the projects this role pursues, the ultimate goal is to push the field forward.

We’re looking for people who love optimizing performance, understanding distributed systems, and who cannot stand having bugs in their code. Since our training framework is used for large runs with massive numbers of GPUs, performance improvements here will have a large 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.

In this role, you will:

• Apply the latest techniques in our internal training framework to achieve impressive hardware efficiency for our training runs
• Profile and optimize our training framework
• Work with researchers to enable them to develop the next generation of models

You might thrive in this role if you:

• Have run small scale ML experiments
• Love figuring out how systems work and continuously come up with ideas for how to make them faster while minimizing complexity and maintenance burden
• Have strong software engineering skills and are proficient in Python

Compensation, Benefits and Perks

The annual salary range for this role is $245,000 – $385,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

Compensation, Benefits and Perks

Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

About the Team

The Platform ML team builds the ML side of our state-of-the-art internal training framework used to train our cutting-edge models. We work on distributed model execution as well as the interfaces and implementation for model code, training, and inference. Our priorities are to maximize training throughput (how quickly we can train a new model) and researcher throughput (how quickly we can develop new models) with the goal of accelerating progress towards AGI. We frequently collaborate with other teams to speed up the development of new capabilities.

About the Role

As a Graph Compiler Engineer you will work on the capture and optimization of model graphs for our training runs. Seamless graph capture is important for keeping researcher throughput high, while graph-level optimizations will allow us to get state-of-the-art training throughput on current and future accelerators.

We’re looking for engineers who are excited to work on our training framework and with researchers at the cutting edge of ML research. Given the scale of our training, small improvements to hardware utilization for our largest runs can produce large cost savings. Enabling researchers to iterate quickly on their ideas will produce large improvements in model capabilities and compute efficiency.

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

In this role, you will:

• Work on our internal training framework to enable easy graph capture of our research experiments
• Apply advanced optimizations to the graph to maximally utilize hardware resources

You might thrive in this role if you:

• Have strong software engineering skills and are proficient in Python
• Have experience running machine learning experiments
• Have experience working on a machine learning compiler
• Have deep knowledge of GPU performance and systems-level optimization

Compensation, Benefits and Perks

The annual salary range for this role is $245,000 – $385,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

Compensation, Benefits and Perks

Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

Job Description

Our mission at OpenAI is to discover and enact the path to safe, beneficial AGI. To do this, we believe that many technical breakthroughs are needed in generative modeling, reinforcement learning, large scale optimization, active learning, among other topics.

As a Research Engineer, you will help build AI systems that can perform previously impossible tasks or achieve outstanding levels of performance. This requires good engineering (for example designing, implementing, and optimizing state-of-the-art AI models), writing bug-free machine learning code (surprisingly difficult!), and building the science behind the algorithms employed. In all the projects this role pursues, the ultimate goal is to push the field forward.

The Research Platform team builds robust and scalable software to support our research efforts. It also offers core development services for mission critical goals and applications. In the Kernels team, we write Kernels for GPUs, we build a compiler to support important AI accelerators and we help with HW/SW co-design of future AI accelerators.

As a Research Engineer for HW/SW co-design, you will co-design future hardware from different vendors for programmability and performance. You will work with our kernel, compiler and ML developers to understand their needs related to ML techniques, algorithms, numerical approximations, programming expressivity and compiler optimizations. You will evangelize these constraints with various vendors to develop future hardware architectures amenable for efficient training and inference. If you are excited about maximizing HBM bandwidth, optimizing for low arithmetic intensity, expressive SIMD ISA, low-precision formats, optimizing for memory hierarchies, simulating workloads at various resolutions of the hardware and evangelizing these ideas with hardware engineers, this is the perfect opportunity!

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

In this role, you will:

• Work with hardware vendors to help co-design their future hardware for programmability and performance
• Assist hardware vendors in developing optimal kernels and add support for it in our compiler
• Develop performance estimates for critical kernels for different hardware configurations
• Work with ML engineers, kernel engineers and compiler developers to understand their vision and needs from high performance accelerators
• Manage communication and coordination with internal and external engagements

You might thrive in this role if you

• Have a deep understanding of GPU and/or other AI accelerators
• Have good experience with CUDA or a related accelerator programming language
• Have experience driving ML accuracy with low precision formats
• Able to actively collaborate with ML engineers, kernel writers and compiler developers
• Have 3+ years of relevant industry experience
• Get a great deal of satisfaction with aligning future hardware with a well established HPC infrastructure

These attributes are nice to have

• PhD in Computer Science and Engineering with a specialization in Computer Architecture, Parallel Computing. Compilers or other Systems
• Are a strong coder with excellent skills in C/C++ and Python
• Experience working with hardware developers
• Experience building compilers
• Good understanding of LLMs and challenges related to their training and inference

Benefits and Perks

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

About the Team:

Our mission at OpenAI is to discover and enact the path to safe, beneficial AGI. To do this, we believe that many technical breakthroughs are needed in generative modeling, reinforcement learning, large scale optimization, active learning, among other topics.

The Research Platform team builds robust and scalable software to support our research efforts. It also offers core development services for mission critical goals and applications. In the Kernel team, we write Kernels for GPUs, we build a compiler to support important AI accelerators and we help with HW/SW co-design of future AI accelerators.

About the Role:

As a Research Engineer for GPU Kernels, you will write hi-performance kernels for the training and inference workloads. You will work with our internal and external customers to understand their needs and develop kernels that maximize performance. You will also work backwards from the capabilities of the GPUs to make model architectures amenable for efficient training and inference. If you are excited about maximizing HBM bandwidth, optimizing for instruction issue rate, shuffling within a warp, managing the precious register space and keeping the tensor cores at high utilization, this is the perfect opportunity!

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

In this role, you will:

• Develop high performance GPU kernels while paying close attention to utilization and application performance
• Make aggressive optimizations that overcome hardware limitations
• Develop low precision algorithms that deliver high performance with little loss of ML accuracy
• Work with ML engineers to develop model architectures that are amenable for efficient training and inference
• Work with our scaling team to deploy your kernels and manage our training uptime
• Work with hardware vendors and advise on HW/SW co-design

You might thrive in this role if you:

• Are a strong coder with excellent skills in C/C++ and Python
• Have a deep understanding of GPU and/or other AI accelerators
• Have good experience with CUDA or a related accelerator programming language
• You have experience driving ML accuracy with low precision formats
• You are able to actively collaborate with infrastructure and ML engineers
• Have 3+ years of relevant industry experience
• Get a great deal of satisfaction with every percentage point in performance improvement

These attributes are nice to have

• PhD in Computer Science and Engineering with a specialization in Computer Architecture, Parallel Computing. Compilers or other Systems
• Participation in competitive programming competitions
• Experience building compilers
• Experience working with hardware developers

Benefits and Perks

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

About the Team

The Platform ML team builds the ML side of our state-of-the-art internal training framework used to train our cutting-edge models. We work on distributed model execution as well as the interfaces and implementation for model code, training, and inference. Our priorities are to maximize training throughput (how quickly we can train a new model) and researcher throughput (how quickly we can develop new models) with the goal of accelerating progress towards AGI. We frequently collaborate with other teams to speed up the development of new capabilities.

About the Role

As a ML User Experience Engineer, you will work on our training framework to create the abstractions that allow researchers to perform experiments using cutting-edge models with impressive ease-of-use. Many of our research teams build on our framework for running their experiments, and they should be able to write their experiments such that they get both flexibility and high scalability.

We’re looking for someone who wants to work at the interface between research and compute and who loves building a great experience for researchers designing their next experiment. This is a high leverage area due to the large algorithmic gains that can be achieved when research productivity is increased.

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

In this role, you will:

• Build out our internal training framework to make research with large distributed models easy and fun
• Work closely with researchers to ensure that the framework meets their needs and enables the next generation of experiments
• Design and build the next generation of training infrastructure at the forefront of language model research

You might thrive in this role if you:

• Have worked on ML tools that researchers love
• Have a good understanding of current models and training algorithms
• Are a strong software engineer and proficient in Python
• Are obsessed with correctness and beautiful interfaces

Compensation, Benefits and Perks

The annual salary range for this role is $245,000 – $385,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

Compensation, Benefits and Perks

Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

About the Team

The Safety Systems team is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society. The work encompasses a wide range of research and engineering projects from detection to model training to model evaluation and red-teaming, aiming to reduce unwanted use cases and ensure model behavior within our safety standard and legal compliance. The Safety Systems team is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency.

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

To help API users monitor and prevent unwanted use cases, we developed the moderation endpoint, a tool for checking whether content complies with OpenAI's content policy. Developers can thus identify content that our content policy prohibits and take actions (e.g. block it). We seek a Machine Learning Engineer to help design and build a robust pipeline for data management, model training and deployment to enable a consistent improvement on the Moderation model.

In this role, you will:

• Design, develop and maintain a robust and scalable data management pipeline and set up standards for versioning and data quality control. The pipeline should be able to handle data relabeling requests due to content policy changes.
• Build a pipeline for automated model training, evaluation and deployment, including active learning process, routines for calibration and validation data refresh etc.
• Work closely with stakeholders from product, engineering, content policy on a long-term improvement over the moderation models, for both external release and internal use cases across a variety of projects on model safety.
• Research on the latest techniques and methods in deep learning and natural language processing to improve the moderation model across a collection of unwanted content categories.
• Experiment on data augmentation and data generation methods to enhance the diversity and quality of training data.
• Experiment and design an effective red-teaming pipeline to examine the robustness of the model and identify areas for future improvement.
• Conduct open-ended research to improve the quality of collected data, including but not limited to, semi-supervised learning and human-in-the-loop machine learning.

You might thrive in this role if you:

• Have 3+ years industry experience as a Machine Learning Engineer or Software Engineer, working on building data pipelines, training and deploying machine learning models in production on a daily basis.
• Care deeply about AI safety and passionate about building the best deep learning empowered moderation model to effectively detect unwanted content.
• Have a strong belief in the criticality of high-quality data and are highly motivated to work with the associated challenges.
• Have experience working in large distributed systems, deep learning or/and natural language processing is a big plus.
• Love working with a team.

Compensation, Benefits and Perks

The annual salary range for this role is $200,000 – $370,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

About the Team

The Safety Systems team is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society. The work encompasses a wide range of research and engineering projects from detection to model training to model evaluation and red-teaming, aiming to reduce unwanted use cases and ensure model behavior within our safety standard and legal compliance. The Safety Systems team is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency.

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

OpenAI is seeking a senior researcher with passion for AI safety and experience in safety research. Your role will set directions for research to enable and empower safe AGI and work on research projects to make our AI systems safer, more aligned and more robust to adversarial or malicious use cases. You will play a critical role in shaping how a safe AI system should look like in the future at OpenAI, making a significant impact on our mission to build and deploy safe AGI.

In this role, you will:

• Set the research directions and strategies to make our AI systems safer, more aligned and more robust.
• Conduct state-of-the-art research on AI safety topics such as RLHF, adversarial training, robustness, and more.
• Coordinate and collaborate with cross-functional teams, including T&S, legal, policy and other research teams, to ensure that our products meet the highest safety standards.
• Actively performing safety audits on AI/ML models and systems, identifying areas of risk and proposing mitigation strategies.

You might thrive in this role if you:

• Ph.D. in computer science, machine learning, or a related field, with 5+ years of related research experience.
• Experience in the field of AI safety, working on topics like RLHF, adversarial training, robustness, fairness & biases, is extremely advantageous.
• Experience in safety work for AI model deployment is a big plus.
• Care deeply about AI safety and motivated by work to make the cutting edge AI models safer for real world use;
• In-depth understanding of deep learning research and/or strong engineering skills is critical for the success of the role.
• Enjoy being a team player.

Compensation, Benefits and Perks

The annual salary range for this role is $200,000 – $370,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

About the Team

OpenAI’s Hardware Health team oversees all hardware health related aspects of our custom-built hyperscale supercomputers. The team is responsible for maximizing the available supercomputing capacity for research and ensuring that our researchers are minimally impacted by hardware faults.

The hardware health team is being incubated inside OpenAI’s Scaling team, which operates at the far edge of all available innovations in AI — doing the engineering and research required to train large-scale AI models of unprecedented capability.

About the Role

As a SWE in Hardware Health, you will work to maintain a sophisticated and comprehensive suite of hardware health tests and collaborate with researchers and our Supercomputing team on root-causing and reliably reproducing newly discovered problems.

The team moves at a fast pace and provides individuals with a high degree of autonomy and a strong ability to affect change.

An ideal candidate would have:

• A balance of building and operational skills
• Excellent abilities developing in python and shell scripting
• A high degree of comfort digging into noisy data with SQL, PromQL, and Pandas
• Experience developing reproducible analyses / building dashboards and visualizations
• A high level of detail orientation and a good intuition for when results are “too good/bad to be true”
• A strong sense of ownership causing them to very carefully monitor outcome of deployed updates
• Prior TL experience as this is a 0-1 effort with team growth on the horizon

Bonus Points if you have expertise and interest in low level details of hardware components, protocols, and associated Linux tooling (PCIe, networking, power management, kernel perf tuning)

About the Team

Governance, Risk, and Compliance (GRC) is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The GRC team provides security assurances and builds compliance for OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our team tenets include: prioritizing for impact; enabling sales, product, and research; preparing for future transformative technologies; and engaging a robust security and compliance culture.

About the Role

As a Compliance Engineer, you will help our Engineering, HR, Legal, and Privacy teams implement security and compliance controls across our infrastructure, products, and organization. You’ll work closely with numerous teams to build these controls, ensuring they are minimally disruptive and support a robust and agile approach to risk management. In this role, you will navigate complex regulatory frameworks including ISO, SOC, DSA, FedRAMP, and more to provide practical guidance on technical architecture and process implementation/documentation. You will build practical compliance controls that are sustainable and ensure the rapid scalability that will allow us to continue to grow quickly and effectively.

We are looking for people who enjoy operating in a high accountability, high expectation environment where the goal is always to produce the best solution. Honesty, openness to new ideas, and willingness to accept and respond to feedback are critical. This position requires a combination of building compliance controls, managing audits, collaborating across the organization, process management, process optimization, and risk based decision making skills with a focus on execution.

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

In this role, you will:

• Partner with engineering teams to implement and audit OpenAI’s security controls across our products, infrastructure, and internal processes.
• Work closely with the teams at OpenAI to shape controls and enable an agile approach to Risk Management across the organization.
• Directly facilitate operational, regulatory, and certification security requirements (e.g., SOC2, ISO, NIST 800-53, etc.) and manage audits to successful outcomes.
• Design and build automation for compliance and security controls.
• Design efficient organizational processes to enable compliance across the organization.
• Align across departments on the roadmaps for implementation of processes and controls.

You might thrive in this role if you have:

• Experience leading 3rd party compliance audits and control implementation (SOC2, ISO, HIPAA, NIST, etc.).
• A robust understanding of security and privacy compliance and regulatory standards.
• Deep understanding of cloud infrastructure and security concepts, including experience with managing compliance requirements against distributed consumer and enterprise applications.
• Excellent project management skills, with a track record of having delivered on complex initiatives in a fast-moving environment.
• A strong technical background, with prior experience as a security, software, or IT engineer as a bonus.
• Ability to clearly distill compliance requirements into internal requirements for various teams including engineering, security, and legal.
• Ability to empathize and collaborate with colleagues, independently manage and run projects, and prioritize efforts for risk reduction.
• Strong attention to detail.

Compensation, Benefits and Perks

The annual salary range for this role is $180,000 – $310,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

About the Team

Governance, Risk, and Compliance (GRC) is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The GRC team provides security assurances and builds compliance for OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our team tenets include: prioritizing for impact; enabling sales, product, and research; preparing for future transformative technologies; and engaging a robust security and compliance culture.

About the Role

As a Compliance Operations Analyst, you will be responsible for driving compliance operations optimizations forward and owning their outcomes. This will include building process implementations, creating documentation, and direct ownership of security assurance for clients. You will need to be an enthusiastic self-starter, diplomatic, reliable, optimization oriented, and capable of managing interpersonal dynamics well in high-pressure situations. You will be a part of a team of talented individuals who are just as passionate about supporting one another as they are about OpenAI’s mission. In this role you will do more than just respond to compliance support requests; you will help support and drive the business through accurate representations of our Security & Compliance posture and anticipating the needs of our customers.

We are looking for people who enjoy operating in a high accountability, high expectation environment where the goal is always to produce the best solution. Honesty, openness to new ideas, and willingness to accept and respond to feedback are critical. This position requires a combination of operations, project management, process optimization, and customer service skills with a focus on execution.

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

In this role, you will:

• Determine and develop processes to prioritize compliance support requests for yourself and future team members.
• Craft and implement processes to reduce friction and enable the teams and/or projects you support to use their resources most effectively.
• Partner with internal teams to scope projects and initiatives that move our key objectives forward.
• Automate away administrative burdens so you and the team can focus on the next most pressing / challenging operational priorities.
• Leverage the collective knowledge of the team: learn and develop expertise to cover gaps, bolster important efforts and projects, internalize feedback, and take charge of your personal growth.
• Own the operational workflows for Compliance & Security, with a focus in Customer Experience and supporting our Business teams by helping to facilitate compliance, security, and contract reviews with existing and potential customers.

You might thrive in this role if you have:

• Excellent project management skills, with a track record of having delivered on complex initiatives in a fast-moving environment.
• Experience operationalizing workflows to increase responsiveness with an eye toward continuous process improvement.
• Experience in GRC, security, or security-adjacent fields.
• Experience developing and navigating technical and compliance documentation and contract language.
• Strong written communication and customer service skills with an ability to engage across all levels of internal and external leadership.
• Strong attention to detail, including maintaining accurate records and diligently following through on open tickets.
• Ability to empathize and collaborate with colleagues, independently manage and run projects, and prioritize efforts for risk reduction.
• Ability to learn new skills and technologies to deliver the most effective solutions, and break down technical work into pieces that you both understand and can re-articulate to others.

Compensation, Benefits and Perks

The annual salary range for this role is $135,000 – $180,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

About the Team

Privacy is a cornerstone of our mission at OpenAI. As a part of the Privacy Team, you will work on the frontlines of safeguarding user data while ensuring the usability and efficiency of our AI systems. You will help us understand and implement the latest research in privacy-enhancing technologies such as differential privacy, federated learning, and memorization in a large language model. Moreover, you will focus on investigating the interaction between privacy and machine learning, developing innovative techniques to improve data anonymization, and preventing model inversion and membership inference attacks.

Your responsibilities could involve designing privacy-preserving machine learning algorithms, enhancing the privacy guarantees of our AI models, and studying the trade-offs between model performance and data privacy. You will also work on creating privacy standards and guidelines for AI system development and deployment, and conduct exploratory research to mitigate the unintended consequences of AI and machine learning on privacy. You will have the opportunity to collaborate with various teams at OpenAI to integrate privacy-enhancing methods into our AI systems.

Your work will not only contribute to OpenAI’s goal of ensuring artificial general intelligence (AGI) benefits all of humanity but will also help shape the discourse on privacy in the age of AI, fostering a broader impact on the technology industry and society at large.

About the Role

In this role, you must:

• Have strong programming skills
• Have experience working in large distributed systems
• Be excited about OpenAI’s approach to research

This role may be a great fit if you:

• Are interested in and thoughtful about the impacts of AI technology
• Have past experience in creating high-performance implementations of deep learning algorithms

Compensation, Benefits and Perks

The annual salary range for this role is $245,000 – $370,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

About the team

Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity.

The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture.

About the Role

As a Security Engineer you will join our OpenAI engineers and researchers in building, operating and securing transformational AI technologies. This role will focus on all aspects of Detection & Response, including infrastructure and operations, and will also contribute to the Security team as a strong generalist.

In this role, you will:

• Drive projects in all major security verticals including: AppSec, InfraSec, OffSec and Detection and Response
• Innovate to solve novel security problems
• Collaborate on cutting-edge AI research, and use AI to improve OpenAI’s Security posture

You’ll make an impact at OpenAI by:

• Innovating on Detection and Response infrastructure
• Build tools for managing the lifecycle of detection rules
• Develop, measure, and tune detection rules to ensure effective and sustainable operations.
• Automate manual response processes
• Ensuring visibility and control of OpenAI’s endpoint fleet (macOS, Windows)
• Driving improvements across identity access and management (IAM), device management, productivity software, and our use of public cloud environments (e.g. AWS, Microsoft Azure).

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

• Experience leading and/or being a senior member of a Security team focused on detection and response operations
• Experience with Microsoft Azure and/or cloud infrastructure platforms
• Knowledge of modern adversary tactics, techniques, and procedures.
• Proficiency with a scripting language (e.g. Python, Bash, PowerShell, or similar).
• Ability to empathize and collaborate with colleagues, independently manage and run projects, and prioritize efforts for risk reduction.

Compensation, Benefits and Perks

The annual salary range for this role is $230,000 – $370,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

About the Team

Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity.

The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture.

About the Role

As a Security Engineer, you will join our OpenAI engineers and researchers in building, operating and securing transformational AI technologies. This role will focus on all aspects of Detection & Response, including infrastructure and operations, and will also contribute to the Security team as a strong generalist. In this role, you will:

• Drive projects in all major security verticals including: AppSec, InfraSec, OffSec and Detection and Response
• Innovate to solve novel security problems
• Collaborate on cutting-edge AI research, and use AI to improve OpenAI’s Security posture

You’ll make an impact at OpenAI by:

• Innovating on Detection and Response infrastructure
• Build tools for managing the lifecycle of detection rules
• Develop, measure, and tune detection rules to ensure effective and sustainable operations.
• Automate manual response processes

• Ensuring visibility and control of OpenAI’s endpoint fleet (macOS, Windows)
• Driving improvements across identity access and management (IAM), device management, productivity software, and our use of public cloud environments (e.g. AWS, Microsoft Azure).

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

• Experience in Security or a Security-adjacent field. We are open to junior, mid-level and senior candidates as we are recruiting multiple Security Engineers to join the team.
• Experience with Microsoft Azure and/or cloud infrastructure platforms
• Knowledge of modern adversary tactics, techniques, and procedures.
• Proficiency with a scripting language (e.g. Python, Bash, PowerShell, or similar).
• Ability to empathize and collaborate with colleagues, independently manage and run projects, and prioritize efforts for risk reduction.

Compensation, Benefits and Perks

This is a position with OpenAI UK Ltd., which controls the hiring and management of this position. Total compensation includes competitive salary, generous equity and benefits.

• Private medical insurance covering 100% of premiums for employees and their dependents
• Pension plan with 4% employer contribution
• 52 weeks maternity leave and 20 weeks parental leave
• Unlimited time off
• Annual learning & development stipend (£1,200 per year)

OpenAI is committed to promoting equal opportunities in employment. You and any job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation, or any other legally protected status

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

About the Team

Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity.

The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture.

About the Role

As a Security Engineer, you will play a crucial role in building secure systems and implementing effective security measures based on input from security partners. Leveraging your strong software engineering skills and deep security knowledge, you will collaborate with cross-functional teams to design and develop secure software solutions and infrastructure. Additionally, you will work closely with security partners to understand their requirements and ensure that security is ingrained into the fabric of OpenAI's systems. This role requires a proactive and resilient team player who can work cross-functionally and help build a cohesive security team.

You’ll make an impact at OpenAI by:

• Collaborating with security partners to understand their requirements and translate them into secure system designs.
• Designing, developing, and implementing secure software solutions and infrastructure components.
• Conducting security code reviews and providing guidance on secure coding practices.
• Collaborating with cross-functional teams to integrate security controls and best practices into software development processes.
• Fostering a strong security culture within the organization by promoting security awareness and best practices.
• Building enduring and high-trust partnerships with colleagues across the organization.

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

• Deep understanding of security principles, best practices, and common vulnerabilities.
• Experience designing and developing secure software solutions and infrastructure components.
• Proficiency in programming languages such as Python, Golang, or similar.
• Familiarity with secure coding practices and the ability to guide development teams on secure software development.
• Knowledge of secure network and infrastructure design principles.
• Experience with cloud platforms (e.g., Amazon AWS, Microsoft Azure) and a solid understanding of cloud security concepts.
• Familiarity with container security, orchestration security, and authentication/authorization.
• Strong analytical and problem-solving skills, with an ability to think critically and objectively assess security risks.
• Excellent communication skills, with the ability to convey complex security concepts to technical and non-technical stakeholders.
• Ability to work collaboratively and effectively in a cross-functional team environment.

Compensation, Benefits and Perks

The annual salary range for this role is $310,000 – $385,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

About the team

Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity.

The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture.

About the Role

As a Software Engineer you will join our OpenAI engineers and researchers in building, operating and securing transformational AI technologies. This role will be a transformational role on the Security Defense and Intelligence, working closely to support the Security Engineers on the team.

In this role, you will:

• Drive projects in all major security verticals including: AppSec, InfraSec, OffSec and Detection and Response
• Innovate to solve novel security problems
• Collaborate on cutting-edge AI research, and use AI to improve OpenAI’s Security posture

You’ll make an impact at OpenAI by:

• Innovating on Detection and Response infrastructure
• Build tools for managing the lifecycle of detection rules
• Develop, measure, and tune detection rules to ensure effective and sustainable operations.
• Automate manual response processes
• Ensuring visibility and control of OpenAI’s endpoint fleet (macOS, Windows)
• Driving improvements across identity access and management (IAM), device management, productivity software, and our use of public cloud environments (e.g. AWS, Microsoft Azure).

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

• Building and maintaining robust, reliable, secure and scalable data pipelines
• Working knowledge of operating systems primitives (Linux, macOS)
• Querying and enriching data using Spark
• Performance monitoring and autoscaling of cloud resources
• Programming in Golang, Python and/or Scala
• Working within Cloud Infrastructure and experience with either of Azure, AWS or GCP
• Creating a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group think

You may have:

• Experience using LLMs
• Experience with Databricks
• Built infrastructure using Terraform
• Experience with Kubernetes

Compensation, Benefits and Perks

The annual salary range for this role is $230,000 – $370,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

About the Team

The Privacy Team at OpenAI is dedicated to implementing robust security measures and promoting the ethical use of AI technology. Our work encompasses ChatGPT, the API, DALL-E, and other groundbreaking tools we are preparing to launch. We provide developers with APIs that offer top-tier AI capabilities, enabling them to create features that were previously inconceivable. In addition to this, we develop consumer applications driven by AI.

In line with OpenAI's mission to introduce Artificial General Intelligence (AGI) that offers broad benefits, we prioritize safety, privacy, and ethical considerations, fostering responsible growth.

About the Role

In this role, you will:

• Design, build, and implement back-end systems that power privacy and security functions within our API products and consumer applications.
• Conduct threat modeling, privacy design reviews, and code-level assessments to ensure the highest privacy and security standards.
• Collaborate with product managers, and other engineering teams to develop new products that leverage emerging research while maintaining privacy and security integrity.
• Work closely with the legal team to document and evaluate internal compliance practices, ensuring alignment with legal requirements and organizational standards, and conduct thorough internal audits to maintain the highest levels of compliance and integrity.
• Coordinate and actively participate in privacy incident response efforts.

This role may be a great fit if you:

• Have substantial experience in building (and re-engineering) production systems to meet legal requirements, manage increased scale, and uphold privacy and security standards.
• Have led or been a significant contributor to security projects, demonstrating a cross-functional collaboration skill set.
• Deeply care about user experience and take pride in developing products that meet customer needs whilst drawing on experience in threat modeling, secure design, and regulatory compliance.
• Possess a humble attitude, strong communication skills, and an eagerness to support your colleagues, reflecting a readiness to do whatever is necessary for team success.
• Take responsibility for problems from beginning to end, demonstrating problem-solving abilities and preparedness to acquire any missing knowledge necessary to get the job done.
• Have previously worked in a leadership role, such as a startup founder or early-stage engineer with a focus on privacy and security, or have managed and grown a global security team.

Compensation, Benefits and Perks

Total compensation includes an annual salary, generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• PRSA plan with 6% employer matching
• Unlimited time off
• Annual learning & development stipend (€1,400 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

This is a position with OpenAI Ireland Ltd., which controls the hiring and management of this position.

OpenAI Ireland Applicant Privacy Policy

About the Team

The Privacy Team at OpenAI is committed to ensuring the secure and ethical utilization of AI technology. Our work encompasses ChatGPT, the API, DALL-E, and other innovative tools we're poised to launch. We provide developers with APIs that offer top-tier AI capabilities, enabling them to create features that were previously inconceivable. In addition to this, we develop consumer applications driven by AI. Across all our product ranges, we prioritize the responsible use of these powerful tools. This approach is essential to OpenAI's mission to safely introduce Artificial General Intelligence (AGI) that offers broad benefits. We prioritize safety and ethical considerations over unrestricted expansion.

About the Role

In this role, you will:

• Design, build, and implement the back-end systems and services that power privacy functions within our API products and consumer applications
• Work closely with product managers, researchers, and the rest of our engineering team to develop new products that leverage emerging research capabilities and meet unaddressed customer requirements, all while maintaining stringent privacy standards
• Continuously iterate to enhance user and developer experiences, while also boosting scalability, performance, observability, and security

This role may be a great fit if you:

• Have substantial experience in building (and re-engineering) production systems to meet legal requirements, manage increased scale, and uphold privacy and security standards
• Deeply care about user experience and take pride in developing products that meet customer needs while ensuring privacy
• Possess a humble attitude and an eagerness to support your colleagues, demonstrating a readiness to do what's necessary for team success
• Take responsibility for problems from beginning to end, and are prepared to acquire any missing knowledge necessary to get the job done
• Create tools to speed up your own and your colleagues’ workflows, particularly when pre-existing solutions are inadequate
• Have previously been a startup founder or worked as an early-stage engineer with a focus on privacy

Compensation, Benefits and Perks

The annual salary range for this role is $245,000 – $370,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

About the Team

OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals together under one organization.

We're building the most advanced AI models and platforms, making it easy for developers and customers to benefit from AI via the OpenAI API and ChatGPT. Our API also provides developers access to Codex – a model that translates natural language into code – and we partnered with GitHub to create an AI pair programmer, Copilot. We're working to bring other research efforts into the API such as DALL-E 2 (our text to image generator) and CLIP (our state-of-the-art image classifier).

OpenAI Strategic Finance is responsible for ensuring the organization is set up for success in pursuit of our mission. We are building an elite team to drive strategy and financial insight at OpenAI, providing an independent and objective perspective to leadership.

About the Role

As the strategic finance lead focusing on infrastructure, you will be responsible for defining and driving key investment decisions we make on public cloud and dedicated infrastructure (e.g. private cloud). This is a cross-functional and strategic role, working closely with engineers, research scientists, and external partners.

We believe that increasing compute is a huge lever to AI progress and we build some of the largest Supercomputers in the world. When our Owl cluster launched in 2019 it would've been among the top 5 of the TOP500 supercomputers in the world. Since then we've only continued to grow. You won’t encounter any other organization in the world with as much compute per employee. We are a small team that moves quickly, with access to huge resources, working with a direct impact on the success of OpenAI and, by extension, the field of AI as a whole.

In this role, you will:

• Decision Modeling: Building and maintaining financial and investment valuation models for existing capital investments and new bets
• Synthesis and Recommendation: Analyzing, developing objective recommendations, and overseeing the financial aspects of critical infrastructure projects and investments
• Partnerships: Leading negotiations with key vendors and partners
• Influencing business direction: Collaborating with leadership on materials for our Board of Directors and Executive Team
• Trend analysis: Accurate forecasts and understanding of key variables are critical in this fast-changing environment

Experience

• 6+ years of experience across private / growth equity, private credit, investment banking, restructuring, strategic finance or business strategy
• Bachelor’s degree or equivalent practical experience
• Experience with project finance, capital project and infrastructure financial analysis, large-scale, high dollar investment projects
• Knowledge of physical computing infrastructure: power and space, data center facilities, hardware, and networking
• Demonstrated exceptionally strong analytical, financial modeling, and written and oral communication skills

You might enjoy this role if

• You’re an owner. You take extreme accountability of projects from day one and approach them creatively and energetically. You take deadlines seriously and are organized. You’re reliable and trustworthy.
• You’re highly analytical. Your attention to detail is impeccable, but you know when and where to simplify complex concepts. You’re tenacious and naturally want to get to the right answer. You’re a lifelong learner.
• You’re strategic. You think on multi-year timescales and can translate that mode of thinking to your day-to-day decision making. You’re comfortable evaluating large investments.
• You’re a team player. You’re intellectually honest and rigorous. You use active listening skills to intuitively concisely and unambiguously communicate analyses. You explain complex topics with ease, in any format and to various audiences. You intuitively understand the importance of keeping everyone in the loop, and you take proactive measures to do so.
• You’re passionate about technology and artificial intelligence.

Compensation, Benefits and Perks

The annual salary range for this role is $210,000 - $265,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

About the Team

We believe that increasing compute is a huge lever to AI progress.

The Supercomputing team owns the entire process of building OpenAI’s compute and infrastructure, which includes 1) the sourcing of hardware and system design, 2) the deployment of huge clusters using Kubernetes and Azure, 3) building the internal experiment platform for running/training the world’s largest AI models.

We work at the very cutting edge of speed and scale, combining the traditions of High-Performance Computing (HPC) in a modern cloud and containerized environment.

We build some of the largest Supercomputers in the world. When our Owl cluster launched it in 2019 it would've been among the top 5 of the TOP500 supercomputers in the world. Since then we've only continued to grow. See this blog post to get a sense of what kind of challenges we solve in our day-to-day work: Scaling Kubernetes to 7,500 Nodes

You won’t encounter any other organization in the world with as much compute per employee. We are a small team that moves quickly, with access to huge resources, working with a direct impact on the success of OpenAI and, by extension, the field of AI as a whole.

About the Role

In this role, you will work with a small team of software engineers to build primarily the infrastructure and compute platform that all of the researchers at OpenAI use for their work. You do not need to be an ML/DL expert to deliver world-class infrastructure, but you do need to be able to quickly obtain a deep technical understanding of new domains. You should enjoy being self-directed and identifying the most important problems to solve as the team matures with standardized tools and processes around stability, observability, and scaling.

As a Software Engineer focused on infrastructure with the Supercomputing team, you should:

• Know your way around bash, Terraform, Python, and/or Chef
• Have experience designing large, highly available distributed systems with Kubernetes or Mesos clusters in the range of 500+ nodes. Even better is experience with GPU workloads on those clusters.
• Have experience working with Azure or other cloud platforms such as AWS or GCP
• Have expertise debugging problems across the stack, such as networking issues, performance problems, hardware issues or memory leaks

We think you’ll find this work really exciting if you:

• Want to help build and maintain some of the world’s largest modern, cloud-based supercomputing systems
• Would enjoy working with world-class AI Research as your primary workload
• Have built large clusters but have motivation to scale beyond
• Love building large distributed, highly available systems without having to manage complex databases
• Enjoy owning things end-to-end and coming up with solutions to yet unsolved problems
• Enjoy the cycle of designing and building the next generation supercomputing cluster year after year

We estimate that someone with 3-5+ years of experience as a software engineer working on a team building and monitoring a large-scale infrastructure deployment will quickly contribute to our challenges. Any experience with high-performance computing or open-source contributions is a bonus.

Compensation, Benefits and Perks

The annual salary range for this role is $200,000 – $370,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

About the Team

The Workplace Operations team is responsible for elevating the employee experience through different delineations of the industry (Facilities, Operations, Experience). Our driving mission is always to enable productivity of ourselves and the company, promote the well-being of the company culture, facilitate growth and optimization, and ensure that OpenAI maintains the best in class experience for all employees.

About the Role

As a Workplace Triage Coordinator, you will be the first point of contact for most employees when they need support. You’ll champion our current intake channels (Jira, Slack, Email) and make sure that simple requests are handled promptly while partnering with other members of the team for more complicated issues. While a majority of this role will be from ‘behind the desk,’ there will always be a need to personally investigate issues and meet with employees about their concerns to add a human element and understanding. You'll be a jack-of-all-trades with a data-driven approach.

This role is based in San Francisco HQ and will need to be in the office 5 days per week. This is a 6-month contingent role, and the pay for this role is $52.88/hour, 40 hours per week. Benefits will be available including health insurance. We are targeting to onboard as soon as possible.

In this role, you will:

• Be the first point of contact for all incoming Workplace requests and see them across the finish line or partner with team members to complete.
• Create template responses for repeat issues.
• Gather SLA (Service Level Agreement) reports and update the team on how they are measuring to the expectation.
• Be a voice for the process and implement improvements to our intake systems.

You might thrive in this role if you:

• Have 1+ years of experience in Workplace, Facilities, Property Management, Hospitality, or other related fields.
• Have a strong sense of data analytics and reporting.
• Be a clear communicator both in written and verbal.
• Be able to go the extra mile on any request small or large.

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.