About the Team
the company'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 the company'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.
Responsibilities
- 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
Qualifications
- Experience landing contributions to major LLM training runs
- Ability to thoroughly evaluate and improve deep learning architectures in a self‑directed fashion
- Motivation for safely deploying LLMs in the real world
- Well‑versed in state‑of‑the‑art transformer modifications for efficiency
Workplace & Location
This role is based in London, and we require on‑site presence; remote work is not an option. We offer relocation support and a hybrid schedule of three days a week in the office, with option to work from home on Thursdays and Fridays.
Equal Opportunity
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 legally protected characteristic.
Contact Details:
United States Digital Space LLC Recruitment Team
