Postdoctoral Researcher, AI and Systems Co-design Team

The Meta Game, Inc.
Olympia, WA, United States
28 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$122,000.0 - $181,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Computer Engineering Distributed Systems Open Source Technology AI Infrastructure Information Technology Machine Learning Operations

Job description

  1. Utilize extensive understanding of hardware architecture and software to analyze the scalability bottlenecks in our AI and Compute Fleet
  2. Conduct state-of-the-art research to advance the science and technology of AI infrastructure
  3. 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
  4. Influence progress of relevant research communities by producing high-quality publications
  5. Open source research code and conduct reproducible research
  6. 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
  7. Build a research program for your future

Requirements

  1. 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
  2. Close to completing/recently completed PhD in CS or related fields
  3. Track record of recent and consistent publications reflecting expertise in theoretical and/or empirical research
  4. Relevant research experience working onAI hardware, software, and algorithms
  5. Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment, 1. Proven track record of achieving significant results as demonstrated by publications at leading workshops, journals and conferences
  6. Experience with driving research at the individual or team level in large-scale ML Systems/Compiler, AI Accelerator, and/or Distributed Systems

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou ¡ Coffee With Developers

2:53 min

Evolution of computing to AI infrastructure

Michael Kagan Michael Kagan +1 ¡ World Congress 2026 Europe

1:29 min

Overcoming challenges in AI-assisted distributed system development

Przemysław Ładyński Przemysław Ładyński · World Congress 2026 Europe

2:14 min

Overcoming age and background to study engineering

Anna John ¡ World Congress 2023

1:15 min

Transitioning from code producers to AI supervisors

Elisa SchÜn Elisa SchÜn ¡ World Congress 2026 Europe

2:09 min

Treating enterprise AI configurations as customizable internal infrastructure

Thomas Froment Thomas Froment ¡ World Congress 2026 Europe

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