About the Team
Our Reasoning Interface & Core Model team trains state-of-the-art models and develops novel methods that power frontier reasoning & personalized interfaces to the AGI. In close collaboration with design and engineering teams, we create impactful products that fundamentally redefine human-AI interaction for millions of users.
About the Role
We are looking for a research engineer / scientist. You will develop the most challenging evaluations and novel methods to train models, improving their core capabilities and shaping the next gen. human-AI interaction paradigms. This role will include working on creative breakthroughs, crafting model behavior, designing evaluations and training procedures, executing careful scientific experiments, developing synthetic data methods, deploying models, and more. Example released projects: ChatGPT canvas, SearchGPT, streaming summarized 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 field or previous 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:
Design challenging evaluations for novel capabilities
Develop scalable synthetic data techniques 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
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.
OpenAI Global Applicant Privacy Policy
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.
