• Research Engineer, Wearables AI

    Meta (Burlingame, CA)


    Summary:

    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.

    Required Skills:

    Research Engineer, Wearables AI Responsibilities:

    1. Lead the design, development, and optimization of on-device AI models for gesture recognition

    2. Adapt standard machine learning methods to best leverage embedded systems (e.g. CPU, HTP, NPU, etc.)

    3. Research and develop Deep Learning models under hardware constraints

    4. Explore and adopt new model optimization and quantization techniques

    5. Stay updated with the latest advancements in Embedded AI, particularly in on-device modeling and signal processing

    6. Collaborate with cross-functional teams to integrate AI/ML model into broader product offerings

    7. Set technical direction for research projects

    Minimum Qualifications:

    Minimum Qualifications:

    8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

    9. Industry experience in AI/ML and Embedded Systems, with a focus on on-device models

    10. Programming experience in Python, C++, or similar

    Preferred Qualifications:

    Preferred Qualifications:

    11. Exposure to embedded systems, microcontrollers, edge AI or IoT applications and signal processing.

    12. First-author publications in machine learning, signal processing, electrical engineering, computer science, computational neuroscience, statistics, physics, or related fields.

    13. Experience with memory optimization, quantization, and/or sparsity.

    14. PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field.

    Public Compensation:

    $70.67/hour to $208,000/year + bonus + equity + benefits

     

    **Industry:** Internet

    Equal Opportunity:

    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 [email protected].