Meta Platforms, Inc.-posted about 1 month ago
Full-time • Mid Level
Burlingame, CA
5,001-10,000 employees
Broadcasting and Content Providers

Reality Labs at Meta is seeking Research Engineers to develop and enhance on-device AI/ML models for our Wearables devices. This role is pivotal in advancing our capabilities in interpreting and processing biomedical signals for health features, helping to advance bleeding edge technologies across our devices. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

  • Lead the design, development, and optimization of on-device AI models for gesture recognition
  • Adapt standard machine learning methods to best leverage embedded systems (e.g. CPU, HTP, NPU, etc.)
  • Research and develop Deep Learning models under hardware constraints
  • Explore and adopt new model optimization and quantization techniques
  • Stay updated with the latest advancements in Embedded AI, particularly in on-device modeling and signal processing
  • Collaborate with cross-functional teams to integrate AI/ML model into broader product offerings
  • Set technical direction for research projects
  • 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+ years industry experience in AI/ML and Embedded Systems, with a focus on on-device models
  • Programming experience in Python, C++, or similar
  • Exposure to embedded systems, microcontrollers, edge AI or IoT applications and signal processing
  • First-author publications in machine learning, signal processing, electrical engineering, computer science, computational neuroscience, statistics, physics, or related fields
  • Experience with memory optimization, quantization, and/or sparsity
  • PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field
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