Research Engineer, Computer Vision & AI (PhD)

2 days ago 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 high-performing research engineers 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, full-stack, real-time, Machine Perception and AI prototypes for egocentric devices such as Meta's Project Aria; Including 3D environment and object reconstruction, semantic understanding as well as estimation and understanding of user motion, actions and activities.

Research Engineer, Computer Vision & AI (PhD) Responsibilities:

  • Implement and prototype advanced research systems and technologies spanning device and cloud, in the domain of AI and machine perception
  • Collaborate with team members throughout the lifetime of a project, from early research through technology and experience prototyping
  • Play a critical role in the definition and execution of system research roadmaps in partnership and cross functional organizations in computer vision, machine learning, graphics, sensors, optics and silicon
  • Collaborate with cross-functional engineering and research teams from Reality Labs and FAIR in computer vision, machine learning, and graphics
Minimum Qualifications:
  • Currently has or is in the process of obtaining a PhD in the field of Computer Science, Computer Vision, Robotics or a related technical field
  • One or more years of experience in C/C++ or Rust
  • Experience in one or more of the following areas: Deep Learning, Computer Vision, AR/VR, 3D Vision, Robotics, Machine Learning or artificial intelligence
  • Experience developing computer vision algorithms or computer vision infrastructure in C/C++, Python or Rust
Preferred Qualifications:
  • Experience working in a Unix environment
  • Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward
  • Experience working and communicating cross functionally in a team environment
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as CVPR, NeurIPS, ECCV, ICCV, IROS, ICRA, or similar
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.

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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, United Kingdom
Job ID: a1KDp00000CZJeuMAH
Employment Type: OTHER
Posted: 2025-12-19T19:54:23

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

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