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Conduct research across AI hardware, software, and algorithms.
Job Responsibility
Utilize extensive understanding of hardware architecture and software to analyze the scalability bottlenecks in our AI and Compute Fleet
Conduct state-of-the-art research to advance the science and technology of AI infrastructure
Collaborate closely with the team as well as cross-functional partners across a broad range of disciplines and contribute towards Meta's research product development
Influence progress of relevant research communities by producing high-quality publications
Open source research code and conduct reproducible research
Bring the latest ideas to Meta, e.g., through inviting leading researchers to talk to their work at Meta, through sharing advances in the field through internal talks and notes
Build a research program for your future
Requirements
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
Close to completing/recently completed PhD in CS or related fields
Track record of recent and consistent publications reflecting expertise in theoretical and/or empirical research
Relevant research experience working on AI hardware, software, and algorithms
Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
Nice to have
Proven track record of achieving significant results as demonstrated by publications at leading workshops, journals and conferences
Experience with driving research at the individual or team level in large-scale ML Systems/Compiler, AI Accelerator, and/or Distributed Systems