Conduct research across AI hardware, software, and algorithms.
Responsibilities
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 about their work at Meta, through sharing advances in the field through internal talks and notes
• Build a research program for your future
Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 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 consistent publications reflecting expertise in theoretical and/or empirical research
• Relevant research experience working onAI hardware, software, and algorithms
• Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
Preferred Qualifications
• 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
