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Computer Vision Engineer

AT Meta
Meta

Computer Vision Engineer

Pittsburgh, PA

Meta Reality Labs brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. Just as personal computers have done over the past 45 years, AR and VR will ultimately change everything about how we work, play, and connect. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interface, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR and VR that are so compelling that they become an integral part of our lives.As Computer Vision Algorithm Engineer on the Reality Labs team at Meta, you can help build new, innovative hardware and software that radically redefine the way people work, play and connect. What we build today could one day be the norm. So to be here today is to truly be at the heart of change and the frontier of what's to come. We're the people helping to define the metaverse. We may not have all the answers. But together, we're getting closer.We are looking for a creative, skilled and motivated algorithm engineer to join our team to build the future of communication - photorealistic telepresence. Our aspiration is to connect people separated by distance as if they were in the same room together. We achieve this by researching, developing and productionizing state-of-the-art methods in computer vision and machine learning for human understanding and telepresence. These include (semi-) supervised deep learning, generative adversarial learning, active learning, depth sensing, 3D reconstruction, and rendering.

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Computer Vision Engineer Responsibilities:
  • Conduct applied research to advance the science and technology in Computer Vision and Machine Learning (3D Reconstruction, Novel View Synthesis, Non-Rigid Tracking)
  • Work towards long-term ambitious research goals, while identifying intermediate milestones
  • Apply relevant AI and machine learning techniques to build intelligent rich visual systems that improve Meta's products and experiences
  • Consistently and sustainably advance the state of AI for your problem, including setting and executing against roadmaps for 6-month plus timeframes
  • Effectively define projects for other engineers to possibly solve and achieve impact based on your direction
  • Develop novel, accurate AI algorithms and advanced systems for large scale applications
  • Understand why some signals and model configurations work while others don't and drive more gain from these findings
  • Define use cases and develop methodology and benchmarks to evaluate different approaches
Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Experience in building, leading and specializing in large-scale commercial computer vision projects from the level of researching a prototype to the level of production.
  • Experience developing computer vision algorithms or computer vision infrastructure in C/C++ or Python
  • Experience in one or more of the following areas: Deep Learning, Computer Vision, AR/VR, 3D Vision, Robotics, Machine Learning or artificial intelligence
Preferred Qualifications:
  • A demonstrated experience to deliver state-of-the-art research in the CVML space into user experiences that are both impactful and bring user delight
  • Experience solving complex problems and comparing alternative solutions, trade offs, and broad points of view to determine a path forward towards bringing state-of-the-art approaches onto real world devices
  • Experience working and communicating cross functionally in a team environment
  • Experience with distributed systems or on-device algorithm development
  • Experience in face, hand or body reconstruction and tracking.
  • Experience in deep learning and PyTorch
  • Experience contributing to AI Publications at leading workshops or conferences such as CVPR, ECCV, ICCV, NeurIPS, and SIGGRAPH.
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): Pittsburgh, PA, USA
Job ID: a1KDp00000E2VPQMA3
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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