Researcher, Training
At a glance
Highlights
- Hybrid work model (3 days in office)
- Relocation assistance
- Work on flagship large language models
- Opportunity to influence model architecture and efficiency
Why this role might suit you
A researcher with deep expertise in transformer architectures and large‑scale model training will thrive building and optimizing next‑generation LLMs, collaborating across teams, and shaping OpenAI's core AI capabilities.
Skills
About the role
About the Team
OpenAI's Training team is responsible for producing the large language models that power our research, our products, and ultimately bring us closer to AGI. Achieving this goal requires combining deep research into improving our current architecture, datasets and optimization techniques, alongside long-term bets aimed at improving the efficiency and capability of future generations of models. We are responsible for integrating these techniques and producing model artifacts used by the rest of the company, and ensuring that these models are world-class in every respect. Recent examples of artifacts with major contributions from our team include GPT4-Turbo, GPT-4o and o1-mini.
About the Role
As a member of the architecture team, you will push the frontier of architecture development for OpenAI's flagship models, enhancing intelligence, efficiency, and adding new capabilities.
Ideal candidates have a deep understanding of LLM architectures, a sophisticated understanding of model inference, and a hands-on empirical approach. A good fit for this role will be equally happy coming up with a creative breakthrough, investing in strengthening a baseline, designing an eval, debugging a thorny regression, or tracking down a bottleneck.
This role is based in San Francisco. 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, prototype and scale up new architectures to improve model intelligence
- Execute and analyze experiments autonomously and collaboratively
- Study, debug, and optimize both model performance and computational performance
- Contribute to training and inference infrastructure
You might thrive in this role if you:
- Have experience landing contributions to major LLM training runs
- Can thoroughly evaluate and improve deep learning architectures in a self-directed fashion
- Are motivated by safely deploying LLMs in the real world
- Are well-versed in the state of the art transformer modifications for efficiency
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
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We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241.
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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
This Research Engineer role pays $360k-$440k/yr. Within typical range for research engineer roles in United States.
Questions about this role
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