Research Engineer / Research Scientist, Post-Training, Frontier Product Research

About the Team

Our team trains state-of-the-art models, develops novel research methods, and creates the next generation of products and new paradigms of human-AGI interactions. In close collaboration with design and engineering teams, we create impactful products that fundamentally redefine for millions of users.

About the Role

We are looking for a research engineer / scientist. You will develop the most challenging evaluations, construct new RL environments and train models, come up with novel methods for reward modeling, improve models core capabilities in coding / writing and shaping the next gen. product paradigms. This role will include working on creative breakthroughs, crafting model behavior, designing evaluations and training procedures, executing careful scientific experiments, developing synthetic tasks in RL, deploying models, and more. Example released projects: ChatGPT tasks, ChatGPT canvas, SearchGPT, streaming summarized o1 chain-of-thoughts.

Ideal candidates should have a strong technical background, familiarity with the quickly emerging LLM stack, and experience in an applied Machine Learning setting. Previous experience in a creative or product experience (e.g. design engineering, rapid prototyping) is a plus.

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:

• Train SOTA models and improve core capabilities like coding and creative reasoning

• Design challenging evaluations for novel capabilities, construct RL environments

• Develop scalable synthetic data techniques in RL and study them

• Train models and run scientific experiments

• Iterate on research experiments, clearly communicating insights to the team

• Integrate core behaviors into the next gen frontier models (e.g. o-series)

• Co-creating novel product surfaces and interaction paradigms

• Collaborate with product, design, and engineering to bring conceptual prototypes from the research phase into production

You might thrive in this role if you:

• Are a team player - willing to do a variety of tasks that move the team forward.

• Are highly skilled in Python.

• Are capable of leading ambitious projects, and have clear communication skills.

• Have familiarity with designing quality research experiments & evaluations with rapid iterations

• Have familiarity with Machine Learning, Deep Learning, and Large Language Models and related infrastructure (e.g. PyTorch)

• Have familiarity in working in complex technical environments and/or improving research velocity

• Bonus: have experience with 1 or more large scale data systems such as beam or spark.

• Bonus: have experience in design engineering, you are autonomous and can rapidly prototype many ideas at a high quality bar in a short amount of time

About OpenAI

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

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

OpenAI Affirmative Action and Equal Employment Opportunity Policy Statement

For US Based Candidates: 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.

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

Compensation Range: $295K - $530K