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 gesture recognition, contributing to innovative solutions in human-computer interaction.
Research Engineer, Wearables AI 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.
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Industry experience in AI/ML and Embedded Systems, with a focus on on-device models.
- Programming experience in Python, C++, or similar.
Preferred Qualifications:
- PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Experience with memory optimization, quantization, and/or sparsity.
- 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.
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.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
$70.67/hour to $208,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
