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Research Engineer, CV/ML Algorithms (XR Eyes)

AT Meta
Meta

Research Engineer, CV/ML Algorithms (XR Eyes)

San Mateo, CA

The XR Eyes team is part of Reality Labs and develops and productizes cutting-edge Eye Tracking CV/ML solutions that power next-gen AR/VR devices. Our Eye Tracking solutions enable fundamental use cases and technologies in areas such as Photorealistic Avatars (Social Presence), Graphics, Display and Optics, and Multimodal UI Interaction. The team has already shipped eye-tracking solutions in the Quest Pro (2022 VR/MR headset) and Orion (2024 AR Glasses) and is working on several next generation devices across AR & MR.The team is composed of Computer Vision, Machine Learning and SW Engineers. We work cross-functionally with teams across multiple disciplines, such as graphics, optics, silicon, and sensors, to design and develop novel Eye Tracking solutions tailored for the requirements and constraints of each particular device.

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Research Engineer, CV/ML Algorithms (XR Eyes) Responsibilities:
  • Develop and productize new CV/ML algorithms for object detection, pose estimation, tracking
  • Explore the development and deployment of foundation models to generalize Eye Tracking performance to heterogenous devices, provide supervision for smaller models, automate annotations
  • Optimize models for computationally efficient inference on resource constrained (mobile) devices
  • Complete medium to large features independently
  • Interface with other teams, collaborate cross-functionally
  • Design tools to ease debugging ML models and CV algorithms
  • Proactively identify and drive changes as needed for assigned codebase, product area and/or systems
  • Conduct design and code reviews
Minimum Qualifications:
  • 2+ years of experience working on ML algorithm development
  • 2+ years of programming experience in Python and SQL
  • 1+ years of experience designing and completing medium to large features independently
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
  • 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
Preferred Qualifications:
  • Has a PhD in Computer Science, Computer Engineering, Math, Physics or similar
  • Has a track record of impactful publications at major Computer Vision and ML conferences or journals
  • 1+ year of programming experience in C++
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.

$56.25/hour to $173,000/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.

Client-provided location(s): Burlingame, CA, USA
Job ID: a1KDp00000E2XU3MAN_1001
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Leave of Absence
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Pension
    • Company Equity
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program

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