Researcher, Training - London
London, UK • FullTime
Posted 3mo ago
Remote Work Policy
On-site
Employment Type
FullTime
Categories
AI Research Engineer
About the job
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.
Responsibilities
- Design, prototype, and scale new architectures to improve model intelligence.
- Execute and analyze experiments autonomously and collaboratively.
- Study, debug, and optimize both model and computational performance.
- Contribute to training and inference infrastructure.
Requirements
- Experience landing contributions to major LLM training runs.
- Ability to thoroughly evaluate and improve deep learning architectures in a self-directed fashion.
- Motivation by safely deploying LLMs in the real world.
- Well-versed in state-of-the-art transformer modifications for efficiency.
- Deep understanding of LLM architectures.
- Sophisticated understanding of model inference.
- Hands-on empirical approach.
Benefits
- Relocation assistance