• Research Engineer, On-Device Contextual AI

    Meta (Burlingame, CA)


    Summary:

    In this role, you will design and implement advanced real-time smart glasses algorithms on custom embedded computer vision/machine learning processors. You will then make them available to an extensive internal and external user community.

    Required Skills:

    Research Engineer, On-Device Contextual AI Responsibilities:

    1. Plan and execute engineering development to advance the state-of-the-art in machine perception research for Contextualized AI

    2. Collaborate closely with researchers, engineers, and product managers across multiple teams at Meta to design, architect and implement prototypes

    3. Debug complex, system-level, multi-component issues that typically span across multiple layers from sensor to application

    4. Lead major initiatives, projects, rollouts and phased releases

    Minimum Qualifications:

    Minimum Qualifications:

    5. Doctor of Philosophy (Ph.D.) in Computer Engineering, Computer Science, or Electrical Engineering and Computer Sciences or equivalent practical experience

    6. 5+ years experience working in large scale C++ and Python code base

    7. 5+ years of experience developing and prototyping machine perception algorithms

    8. Experience in implementing computer vision algorithms for efficient execution on embedded systems

    9. Experience developing, debugging, and shipping software products on large code bases that span platforms and tools

    10. Demonstrated experience working collaboratively in cross-functional teams

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

    12. Demonstrated examples of delivering an end-to-end system rather than a single component

    Preferred Qualifications:

    Preferred Qualifications:

    13. Experience with low-level programming (DSPs, MCUs, etc) and mobile accelerators

    14. Experience with device to cloud low latency applications

    15. Experience with mobile (Android or iOS)

    16. Experience in zero-to-one blank slate projects

    17. Experience with cloud edge computing

    Public Compensation:

    $85.10/hour to $251,000/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].