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.
Requirements
- 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
Responsibilities
- 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
Other
- 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
- Meta builds technologies that help people connect, find communities, and grow businesses.
- Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer.
- Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process.
