Research Engineer, FAIR SGT
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Lead and execute research to advance the state-of-the-art in generative models and LLM performance
Systematically perform independent research, quickly adapting to new developments in the field
Directly contribute to the experimental process, including designing details, implementing reusable code, running evaluations, and organizing results
Contribute to publications, open-sourcing initiatives, and mentor other team members
Ensure effective cross-functional collaboration
Demonstrated experience with training, fine-tuning, and experimentation on foundation models beyond black-box usage
Familiarity with PyTorch
Must be able to obtain and maintain work authorization in the country of employment
Ability to conduct independent research, communicate complex ideas with peers
Hold first-author publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR)
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