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Computer Vision Research Scientist

AT Meta
Meta

Computer Vision Research Scientist

London, United Kingdom

Meta Reality Labs brings together an R&D team of researchers, developers, and engineers with the shared goal of developing the next generation of XR experiences across the spectrum. Our Research team explores, develops, publishes, and delivers novel and cutting-edge technologies for creating photorealistic 3D and 4D worlds from large-scale and heterogeneous data sources. Our team is addressing a variety of technical challenges including generative world foundation model development, static and dynamic reconstruction using radiance fields, semantic scene understanding, and related domains. We're looking for candidates who share a passion for exploring and solving complex, challenging problems at the intersection of generative modeling and photorealistic 3D/4D reconstruction. The ideal candidate has an exceptional, proven track record in 3D generative model development and is an outstanding software engineer who can prototype and verify novel algorithms. The aim of this role is to develop and advance state of the art research in 3D/4D Generative AI technologies.

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Computer Vision Research Scientist Responsibilities:
  • Research and develop novel computer vision models in Generative AI, with a focus on photorealistic 3D/4D scene generation
  • Publish research results at top-tier international conferences
  • Collaborate with team members throughout the lifetime of a project, from early research through prototyping
  • Develop research that can be applied to Meta's VR/AR product development
Minimum Qualifications:
  • PhD in the field of computer vision, machine learning, robotics, or equivalent
  • Work experience in a faculty, industry, or government research position with primary emphasis on AI research
  • Background in generative AI, 3D computer vision, video, and image generation
  • Experience designing generative machine learning algorithms, including data curation, large-scale training, and inference of novel ML architectures
  • Experience working in cross functional collaborations
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.

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): London, UK
Job ID: a1KDp00000E2WXLMA3
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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