Skip to main contentA logo with &quat;the muse&quat; in dark blue text.

Research Scientist, 3D ML, AI & Computer Vision (PhD)

AT Meta
Meta

Research Scientist, 3D ML, AI & Computer Vision (PhD)

London, United Kingdom

Meta Reality Labs Research (RL Research) brings together a world-class R&D team of researchers, developers, and engineers with the shared goal of developing AI and AR/VR technology across the spectrum. The Surreal Spatial AI group is seeking exceptional research scientists to build machine perception technology allowing AI agents and systems to perceive and understand the 3D world around them. The aim of this role is to develop, advance and integrate ML and computer vision models and SW systems for advanced, real-time machine perception for egocentric devices such as Meta's Project Aria, including 3D environment and object reconstruction, semantic understanding, estimation and understanding of user motion, actions and activities, and learning of predictive, causal world models for embodied AI agents and egocentric devices.

Want more jobs like this?

Get jobs in London, United Kingdom delivered to your inbox every week.

By signing up, you agree to our Terms of Service & Privacy Policy.


Research Scientist, 3D ML, AI & Computer Vision (PhD) Responsibilities:
  • Research, develop and prototype state of the art ML and software technology in the domains of 3D environment and object reconstruction, semantic understanding, estimation and understanding of user motion and more.
  • Build/integrate real-time prototypes for advanced, real-time 3D machine perception systems as part of a fast-moving research and research engineering team.
  • Collaborate with team members throughout the lifetime of a project, from prototyping to deployed products.
  • Deliver research results that have a direct impact on Meta and Meta's AI-enabled products.
Minimum Qualifications:
  • Currently has or is in the process of obtaining a PhD in the field of computer vision, Machine Learning / Artificial Intelligence, robotics or equivalent.
  • Track-record of state-of-the-art publications in the field and at top conferences in the field
  • Experienced in advanced 3D computer vision and ML, thorough understanding of 3D geometry fundamentals as well as state of the art ML/AI models incorporate that.
  • Mathematical background and understanding of numerical optimization, linear algebra, probabilistic estimation and 3D geometry.
  • 5+ years C++ experience with a mastery of modern C++ features.
  • 3+ years python experience, including appropriate ML frameworks.
  • Interpersonal experience: cross-group and cross-functional collaboration.
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
Preferred Qualifications:
  • Experience working on real-time, high-performance systems in robotics, AR/VR, or other areas
  • Experience working in a Linux environment.
  • Broad understanding of the state of the art of ML and AI model architectures and training paradigms.
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, ECCV/ICCV, ICCP, 3DV, BMVC, or SIGGRAPH.
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
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: a1KDp00000E2P6GMAV
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)

Company Videos

Hear directly from employees about what it is like to work at Meta.