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Research Scientist – World Models, Robotics & Embodied AI

Meta - London, UK

Posted Jun 4, 2026

Benefits

Parental leave
Not verified
Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
Not verified checked Jun 7, 2026
Salary
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401(k) match
Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Data From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
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Company

Company stage
Public-company From the posting source checked Jun 20, 2026
Equity
Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Research Scientist – World Models, Robotics & Embodied AI London, UK Meta Reality Labs Research (RL Research) brings together a team of researchers and engineers with the shared goal of developing AI, Robotics, and AR/VR technology across the spectrum. The Surreal Spatial AI group is seeking Research Scientists to build machine perception, 3D generative systems, and control technology allowing robotic agents and AI systems to perceive, understand, reason about, and interact with the world around them. In this role, you will develop algorithms for predictive world modeling, active perception, and robotic interaction. You will investigate architectures that position multi-modal Generative World Models at the core of machine perception and data-driven robotic control for real-world autonomous applications. Leveraging modalities available from egocentric devices and physical robotic platforms, your work will span the full stack, translating foundational world models into action in the physical world. Responsibilities: - Drive fundamental and applied research at the intersection of multi-modal generative AI, predictive world modeling, embodied reasoning, and robotic manipulation - Investigate or invent architectures that deliver a spectrum of embodied behaviors from simulated environments to real robots, and from tactile-driven motor control to high-level, long-horizon intelligence - Design research methodologies and lead empirical evaluations, authoring well-tested code for physical hardware and simulators - Build prototype systems that drive multi-step, long-horizon robotic perception, reasoning, and action - Contribute to and lead high-impact publications and open-sourcing efforts - Identify long-term research goals while executing intermediate milestones - Collaborate with a wide-ranging set of scientists and engineers

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