At a Glance
- Tasks: Design and scale new architectures to enhance AI model intelligence and efficiency.
- Company: Join OpenAI, a leader in AI research and deployment.
- Benefits: Hybrid work model, relocation support, and a vibrant office environment.
- Other info: Collaborative team culture with excellent growth opportunities.
- Why this job: Push the boundaries of AI technology and make a real-world impact.
- Qualifications: Experience with LLM training and deep learning architectures.
The predicted salary is between 60000 - 80000 £ per year.
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 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.
About the Role
As a member of the training team, you will push the frontier of LLM development for OpenAI's flagship models, enhancing intelligence, efficiency, and adding new capabilities. Relevant interests may include areas such as architecture design, long-context and efficient attention, optimization and the science of scaling. 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.
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
Workplace & Location:
This role is based in our London office, and we aren’t considering applications to work remotely at this time. If you're joining us in person, we offer relocation support and follow a hybrid schedule: three days a week in the office, with the option to work from home on Thursdays and Fridays. Our offices are set up for focus and connection—with adjustable desks, phone booths, conference rooms, stocked kitchens, and cozy spots to unwind or catch up with teammates.
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 we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
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