Research Scientist, Mid-training
OpenAI
About the TeamThe Mid-training team does cross-cutting research, engineering, and execution, including activities classically associated with both pre-training and post-training. We improve OpenAI’s flagship models, adding new capabilities and making them more efficient. Recent examples of artifacts with major contributions from our team include GPT4-Turbo and GPT-4o.About the RoleThe efficiency of our frontier model architectures is key to making today’s models and those of the future accessible. Step-change improvements to efficiency can unlock new interfaces, enable new applications, and impact the frontier itself.Ideal candidates have a deep understanding of state-of-the art architectures, a sophisticated understanding of LLM inference, and a hands-on empirical approach. A strong grasp of hardware (e.g. GPU memory hierarchy) is a plus. Competency with profiling, low-level optimization, and kernel writing is also desired. 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 London, UK. 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, execute, and analyze experiments autonomously and collaborativelyStudy, debug, and optimize both model performance and computational performanceContribute to training and inference infrastructureYou might thrive in this role if you:Have experience landing contributions to major LLM training runsCan thoroughly evaluate and improve deep learning architectures in a self-directed fashionAre motivated by safely deploying LLMs in the real worldAre well-versed in the state of the art transformer modifications for efficiencyCompensation, Benefits and Perks
This is a position with OpenAI UK Ltd., which controls the hiring and management of this position. Total compensation includes competitive salary, generous equity and benefits.
London
Fri, 09 Aug 2024 01:03:29 GMT
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