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Computer Vision and Machine Learning Engineer

AT Meta
Meta

Computer Vision and Machine Learning Engineer

San Mateo, CA

Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free AR/MR, and push the future of computing platforms. We are a team of world-class experts dedicated to AR/VR research, computer vision, and machine learning. We are committed to driving the state-of-the-art forward through relentless innovation. AR and VR potential to change the world is immense -- and we're just getting started.The XRTech team explores, develops, and delivers new cutting-edge technologies that serve as the foundation of current and future Reality Labs products. From mixed reality and human interaction to natural input and beyond, XRTech is focused on taking new technologies from early concept to the product level while iterating, prototyping, and realizing the human value and new experiences they open up.The 3D mapping team's mission is to develop cutting-edge core technologies for 3D mapping and contextual understanding for metaverse digital twins. Our team is building large-scale persistent maps for AR and VR products at Meta. The precise geometric representation of the environment enables rich and consistent AR and VR experiences. We covers three pillars of work: cloud mapping pipeline and platform serving various use cases core mapping algorithm development including conventional and machine lenaring-based Structure-from-motion (Structure-from-Motion), VIO & SLAMLarge-scale mapping and maps management.

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Computer Vision and Machine Learning Engineer Responsibilities:
  • Computer Vision, or machine learning state estimation expert who would lead algorithm development for mapping.
  • Develop state-of-the-art software solutions for high quality 3D maps.
  • Collaborate with partner teams on sensor calibration, map quality assessment, and user experiences.
Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Expertise in computer vision, and machine learning domain knowledge in 3D mapping.
  • Proven experience with C++ and/or Python, including experience with modern features.
  • Understanding and experiences of 3D geometry, linear algebra, numerical optimization, statistics and probability
  • Demonstrated experience working collaboratively in cross-functional teams
  • Master's degree in the following fields: Computer Science, Computer Vision, or Robotics or related
Preferred Qualifications:
  • Doctor of Philosophy (Ph.D.) in Computer Engineering, Computer Science, or Electrical Engineering
  • Experienced in advanced geometric computer vision, computational imaging, large scale numerical optimization, state estimation, and sensor fusion.
  • Experience working in a Linux environment
  • Broad understanding of the full machine vision pipeline from sensors to high-level algorithms
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.

$85.10/hour to $251,000/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: a1KDp00000E2PGaMAN_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
  • Diversity and Inclusion

    • Employee Resource Groups (ERG)

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