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About the Team

OpenAI’s Scaling team operates at the far edge of all available innovations in AI — doing the engineering and research required to harness custom-built hyperscale supercomputers, the latest algorithmic improvements, and massive datasets to train AI models of unprecedented capability.

We build our own model training software stack, solving problems at all layers of the stack including iteration speed, observability, compute efficiency, correctness, and fault detection and recovery.

The models we train are key ingredients to the AI research progress at OpenAI and the field as a whole, and we continually incorporate learnings from our entire research org into our training platform.

About the Role

As a Researcher or Software Engineer in Systems and Scaling, you will work at the intersection of hardware and software, co-designing systems and ML code that aim to deliver near-optimal performance for training large-scale AI models. Our 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:

• Experience and passion for building systems from the ground up.
• Experience in tackling novel systems problems.
• A Deep understanding of performance and comfort with theoretical performance modeling.
• Breadth across a few areas of systems research (operating systems, networking, distributed systems, architecture, programming languages) and deep expertise in one.
• Excellent communication skills. You can explain your work's intricacies to a non-technical audience if need be.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation, 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.

OpenAI US Applicant Privacy Policy

About the team

The Deployment Planning team’s mandate is to build tools and conduct research that equip OpenAI to prepare for safe and successful deployment of increasingly advanced AI. 

About the role

We’re seeking an experienced machine learning researcher to shape and lead the Deployment Planning team’s ML research agenda. 

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 Deployment Planning 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

About OpenAI

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

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

Compensation, 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.

OpenAI US Applicant Privacy Policy 

By applying to this role, you will be considered for Research Scientist roles across all teams at OpenAI.

About the Role

As a Research Scientist here, you will develop innovative machine learning techniques and advance the research agenda of the team you work on, while also collaborating with peers across the organization. We are looking for people who want to discover simple, generalizable ideas that work well even at large scale, and form part of a broader research vision that unifies the entire company.

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
• Be excited about OpenAI’s approach to research 

Nice to have: 

• Interested in and thoughtful about the impacts of AI technology
• Past experience in creating high-performance implementations of deep learning algorithms

Below are some of our current teams and the work you may do on them. 

• Algorithms: Conduct exploratory research and drive algorithmic and architectural advances on the critical path to AGI. Algos has been responsible for a number of high profile OpenAI releases including GPT-2, Image GPT, Jukebox, DALL-E.
  
  
• Alignment: Fine-tune large language models to perform tasks in accordance with the user's intentions. Explore learning from human feedback and assisting humans evaluating AI. Recent projects: InstructGPT, Book summarization
  
  
• Applied AI Research: Develop innovative solutions and open-ended research to solve real-world problems. Care about applications driven by user feedback and long-term research ​​with significant impact on products, while keeping a high safety product standard. Recent project: Text and Code Embeddings in OpenAI API
  
  
• Code Generation: Research and develop AI programmers, the neural models that write, debug and improve computer programs. Creating AI which can solve hard symbolic reasoning problems is one of the most difficult problems in modern deep learning and you can attack it head-on. Seek new ways for increasingly powerful AI systems to interact with the world through a very general interface of computer code. Recent project: Codex that powered the creation of GitHub Copilot.
  
  
• Language: Develop GPT advancements by exploring and forecasting future capabilities and resource needs. Seek a deep understanding of the scaling of our models across multiple orders of magnitude to optimize for best-case performance at the largest scale. Value impact over novelty – Team has found outstanding results from solid engineering with good design, implementation, and benchmarking.
  
  
• Mathgen: Help models learn to solve problems in informal natural text and prove theorems in formal languages like Lean. Large language models are known to make false claims that sound plausible, while mathematics requires the utmost rigor so training models that can reason robustly is a critical step on the path to AGI. Recent projects: Training Verifiers and Solving Olympiad Problems.

• Policy Research: Measure the risks, benefits, and overall impact of our technology on the world with an eye towards informing our policies and those of other institutions. Develop novel ways of characterizing model properties, work with internal and external partners to measure our economic impact, and build novel mitigations that help us safely deploy models in an iterative fashion. Conduct far-sighted research on ideal governance and regulation of powerful AI systems.

• Scaling: Build the model training software stack, solving problems at all layers of the stack including iteration speed, observability, compute efficiency, correctness, and fault detection and recovery. Scaling owns the engineering and research required to harness custom-built hyperscale supercomputers, the latest algorithmic improvements, and massive datasets to train AI models of unprecedented capability.
  
  
• Science of Deep Learning: Explore and understand the dynamics of training large models to guide both the training of current models and the trajectory of the next ones.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation, 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.

OpenAI US Applicant Privacy Policy

By applying to this role, you will be considered for Research Engineer roles across all teams at OpenAI.

About the Role

As a Research Engineer here, you will be responsible for building AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance. We're looking for people with solid engineering skills (for example designing, implementing, and improving a massive-scale distributed machine learning system), writing bug-free machine learning code, and building the science behind the algorithms employed. 

The most outstanding deep learning results are increasingly attained at a massive scale, and these results require engineers who are comfortable working in large distributed systems. We expect engineering to play a key role in most major advances in AI of the future.

We expect you to:

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

Nice to have: 

• Interested in and thoughtful about the impacts of AI technology
• Past experience in creating high-performance implementations of deep learning algorithms

Below are some of our current teams and the work you may do on them. 

• Algorithms: Conduct exploratory research and drive algorithmic and architectural advances on the critical path to AGI. Algos has been responsible for a number of high profile OpenAI releases including GPT-2, Image GPT, Jukebox, DALL-E.
  
  
• Alignment: Fine-tune large language models to perform tasks in accordance with the user's intentions. Explore learning from human feedback and assisting humans evaluating AI. Recent projects: InstructGPT, Book summarization
  
  
• Applied AI Research: Develop innovative solutions and open-ended research to solve real-world problems. Care about applications driven by user feedback and long-term research ​​with significant impact on products, while keeping a high safety product standard. Recent project: Text and Code Embeddings in OpenAI API
  
  
• Code Generation: Research and develop AI programmers, the neural models that write, debug and improve computer programs. Creating AI which can solve hard symbolic reasoning problems is one of the most difficult problems in modern deep learning and you can attack it head-on. Seek new ways for increasingly powerful AI systems to interact with the world through a very general interface of computer code. Recent project: Codex that powered the creation of GitHub Copilot.
  
  
• Language: Develop GPT advancements by exploring and forecasting future capabilities and resource needs. Seek a deep understanding of the scaling of our models across multiple orders of magnitude to optimize for best-case performance at the largest scale. Value impact over novelty – Team has found outstanding results from solid engineering with good design, implementation, and benchmarking.
  
  
• Mathgen: Help models learn to solve problems in informal natural text and prove theorems in formal languages like Lean. Large language models are known to make false claims that sound plausible, while mathematics requires the utmost rigor so training models that can reason robustly is a critical step on the path to AGI. Recent projects: Training Verifiers and Solving Olympiad Problems.

• Policy Research: Measure the risks, benefits, and overall impact of our technology on the world with an eye towards informing our policies and those of other institutions. Develop novel ways of characterizing model properties, work with internal and external partners to measure our economic impact, and build novel mitigations that help us safely deploy models in an iterative fashion. Conduct far-sighted research on ideal governance and regulation of powerful AI systems.

• Scaling: Build the model training software stack, solving problems at all layers of the stack including iteration speed, observability, compute efficiency, correctness, and fault detection and recovery. Scaling owns the engineering and research required to harness custom-built hyperscale supercomputers, the latest algorithmic improvements, and massive datasets to train AI models of unprecedented capability.
  
  
• Science of Deep Learning: Explore and understand the dynamics of training large models to guide both the training of current models and the trajectory of the next ones.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation, 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.

OpenAI US Applicant Privacy Policy

About the Team

Earlier in 2022, we introduced DALL-E 2, AI that creates images from text. In 2021 we launched  Copilot, powered by Codex, in partnership with GitHub – and developers love it. In 2020 we introduced GPT-3 which the MIT Technology Review listed as one of its 10 Breakthrough Technologies of the year (alongside mRNA vaccines).

Our product team is bringing OpenAI technologies to consumers and businesses around the world. We recently launched ChatGPT. Since then, millions of people have given us feedback and we’ve seen users find value across a range of use-cases, including drafting & editing content, brainstorming ideas, programming help, and learning new topics. This year, we’re hoping to evolve this offering into a product, starting with the launch of ChatGPT Plus. 

About the Role

As our Founding Data Scientist on the Applied Product team, you will establish the data-driven product development culture for consumer products at OpenAI. This is critical, as millions of users have discovered our first party offerings and we’re now looking to orient both research and product development around driving measurable impact for these users.

You should expect to define our north-star metrics, design our first A/B tests, and establish source-of-truth dashboards that the entire company can use to answer their own product questions. Most importantly, you should expect to be a core member of the product development team building our first party offerings. 

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

In this role, you will:

• Embed with the product development team as a trusted partner, uncovering new ways to improve the product and drive growth
• Define and interpret A/B tests that help answer critical questions about the impact of model and UX changes to our product 
• Establish a data-driven product development culture by driving the definition, tracking, and operationalizing of feature-, product-, and company-level metrics
• Develop and socialize dashboards, reports, and other ways of enabling the team and company to answer product data questions in a self-serve way

You might thrive in this role if you have: 

• 5+ years experience in a quantitative role navigating highly ambiguous environments, ideally as a founding data scientist or product analyst at a hyper-growth product company or research org
• Proposed, designed, and run rigorous experiments with clear insights and product recommendations utilizing SQL and Python
• Defined, implemented, and operationalized new feature and product-level metrics from scratch
• Excellent communication skills with demonstrated ability to communicate with product managers, engineers, and executives alike
• Strategic insights beyond the paradigm of statistical significance testing

You could be an especially great fit if you have:

• Demonstrated prior experience in NLP, large language models, or generative AI 
• Strong programming background, with ability to run simulations and prototype variants
• Experience validating quantitative insights with qualitative methods (e.g. surveys, UXR)

About OpenAI

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

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

Compensation, 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 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.

OpenAI US Applicant Privacy Policy

About the Program

The OpenAI Residency provides a pathway for engineers and researchers to transition into the field of artificial intelligence. Residents build on their existing experience while learning and working on practical problems with our teams. As a Research Resident, you’ll be embedded within our Research or Applied teams working on real, cutting-edge AI problems. Residents will be compensated as fully salaried employees for the duration of the program.

Excellent work and experience can come from both inside and outside of traditional education and work settings. OpenAI has long been home to many self-taught researchers and engineers. If you have an unconventional educational background, we encourage you to apply. It is important that this program is inclusive of the diverse set of skills and backgrounds that reflect the human experience so our work can do the same. We will provide immigration and relocation support to talent globally.

About the Role

The OpenAI Research Residency is ideal for researchers with expertise in a scientific field outside of deep learning who would like to transition into a Research Scientist or Research Engineer position in the field of AI. We seek a record of achievement in a field such as mathematics, physics, or neuroscience. As a Resident on the Research track, you will work closely with a team of machine learning researchers to build AI systems that can perform previously impossible tasks and achieve unprecedented levels of performance to advance the research agenda of your team.

Preferred Qualifications: 

• Published research in a STEM field or equivalent practical research experience
• Have proficiency in programming languages 
• Have a strong math background and understanding of linear algebra, calculus, and statistics
• Have achievements in another field, such as creating a large software system, awards in math/science/programming contests, or authoring highly cited publications
• Be available and interested in joining OpenAI full-time after completing the Residency
• Have taken the initiative to jump right in and begin self-study of the fundamentals of ML
• Motivated to discover AI breakthroughs and their potential benefits to humanity

Application and Program Timeline

• Application review and interviews will take place on a rolling basis.
• We will offer quarterly start dates in 2023. 
• We are now accepting applications for the April 2023 class. 

Location
This program is based in our San Francisco HQ, and we offer a flexible work environment, encouraging Residents to come in the office at least 3 days a week. We will also provide relocation assistance as needed.

Work Authorization / Sponsorship
OpenAI will provide immigration and sponsorship support to Residents based on their unique circumstances.

About OpenAI

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

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

Compensation, Benefits and Perks

The monthly salary for this role is $17,500. Total compensation also includes 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.

OpenAI US Applicant Privacy Policy

About the Team

The Applied AI Research team works on innovative solutions to solve practical real-world problems with direct impact on users of the OpenAI API. We work on open-ended research projects to enable successful products. We care about solving real-world problems, while keeping our products up to a high safety standard. We care about applications driven by user feedback, as well as long-term research ​​with significant impacts on the product.

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.

About OpenAI

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

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

Compensation, 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.

OpenAI US Applicant Privacy Policy

About the Team

Our Codegen team is responsible for the research that brought you Copilot.

We are looking for a software engineer with full-stack, web product development experience to join our Codegen research team and improve future versions of our Codex model. 

About the Role

As a Software Engineer on the Codegen team, you will closely collaborate with our world-class research teams to build and deploy powerful AI systems and products that can perform previously impossible tasks and achieve unprecedented levels of performance.

A glance at a couple of the upcoming development projects: 

• Design and develop the tools &  dashboards required for a variety of cutting-edge AI research and consumer projects, particularly Codex and Copilot.
• Build UI's and web interfaces to collect data from human users to improve our AI models through reinforcement learning.  

We expect you to: 

• Have strong web development skills creating UI's and user dashboards
• Have proficiency in JavaScript, React for front-end development
• Have some Python experience and using one of Flask/Django/Tornado
• Have experience driving large-scale projects in a fast-paced and highly collaborative environment
• Be interested in and thoughtful about the impacts of AI technology (see our Charter for examples of our goals)

OpenAI US Applicant Privacy Policy 

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