JobsResearch Scientist, ML H-W/S-W Codesign
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Research Scientist, ML H-W/S-W Codesign

Meta

Location

Sunnyvale, CA

Type

Full-time

Posted

7/21/2026

Compensation

$154,000 - $217,000 a year

PhD Entry-Level
Approval 99%·Filings 6,588·New hires 3,344·
👑 Elite Sponsor
·FY 2025

Job description

The Research Scientist role at Reality Labs focuses on advancing AI model-hardware co-design techniques to enhance compute and power efficiency for AR, VR, and edge devices. The team is dedicated to developing innovative solutions in machine learning, hardware acceleration, and software systems. This position involves tackling complex challenges and contributing to the integration of algorithms and hardware. The ideal candidate will work collaboratively across disciplines to drive impactful research and development.

Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field.
  • PhD in Electrical Engineering, Computer Science, or a relevant technical field, or equivalent practical experience.
  • Experience developing AI-System infrastructure, AI algorithms, or AI hardware acceleration in C/C++ or Python.

Responsibilities

  • Identify and solve multi-discipline ML acceleration problems involving algorithms, network design, hardware architecture, multimodal AI, and AR/VR use cases.
  • Work across hardware and software to solve co-design problems with other Research scientists.
  • Codesign and invent novel ML accelerator and system architecture solutions.
  • Develop state-of-the-art model compression and scalability techniques using Numerics, pruning, and distillation.
  • Optimize models on hardware accelerators to achieve target performance given various real-time latency and power constraints.
  • Influence partners to adopt recommended solutions through data-driven analysis and clear communication of trade-offs.
  • Define use cases and develop methodology and benchmarks to evaluate different approaches.
  • Apply in-depth knowledge of how ML acceleration interacts with other systems.
  • Attend conferences, interpret papers, and stay updated with the latest research advancements in ML acceleration.
  • Contribute to patents and/or publications in peer-reviewed conferences and journals.

Benefits

  • Employees at Meta are often offered comprehensive benefits, including medical/dental/vision coverage, mental-health resources, family planning support (fertility, adoption, surrogacy), and caregiving programs. Financial benefits typically include a competitive retirement plan, equity awards, life insurance, and access to financial coaching and legal support. Time-off benefits commonly feature generous PTO and holidays, unlimited sick time, various paid leaves, flexible “Global Travel Days,” and a 30-day paid break every five years.

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