Research Scientist Intern – Robotics, World Models & Embodied AI (PhD)

Skip to main content

Jobs

Teams

Career Programs

Working at Meta

Blog

Podcasts

Jobs

Research Scientist Intern – Robotics, World Models & Embodied AI (PhD)

Research Scientist Intern – Robotics, World Models & Embodied AI (PhD)

London, UK

3D Software Engineering

+ 7 more

Apply now

Meta Reality Labs Research (RL Research) brings together a world-class R&D 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 Scientist Interns to help build the machine perception, 3D generative systems, and control technology that allow robotic agents and AI systems to perceive, understand, reason about, and interact with the world around them.

Our research puts multi-modal generative world models at the core of machine perception and robotic control, using data from egocentric devices such as Project Aria alongside data from physical robots. As an intern, you will work with our research scientists and engineers on robot foundation models, including world action models (WAMs) and vision-language-action models (VLAs).

Projects can span several research streams, including exploring novel architectures, grounding these models in 3D, learning action and goal representations, and integrating new sensor modalities such as touch.

Interns in this role are proficient in research areas such as action-conditioned world models, 3D computer vision, representation learning, learning from human video and demonstrations, cross-embodiment transfer, tactile sensing, reinforcement learning, and dexterous manipulation. You should have a keen interest in producing new, open science that makes embodied agents more intelligent.

Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.

Research Scientist Intern – Robotics, World Models & Embodied AI (PhD) Responsibilities

• Perform fundamental and applied research at the intersection of multi-modal generative AI, predictive world modeling, embodied reasoning, and robotic manipulation.
• Collaborate with research scientists and engineers to explore novel architectures for robot foundation models, such as WAMs and VLAs.
• Ground robot foundation models in 3D, using 3D computer vision and scene understanding.
• Develop action and goal representations that transfer across embodiments, from human video to different robots.
• Integrate new sensor modalities, such as tactile sensing and audio, into robot foundation models alongside vision and language.
• Design and run empirical evaluations, writing robust code for physical hardware and simulators.
• Contribute to publications and open-source releases.

Minimum Qualifications

• Currently has, or is in the process of obtaining, a PhD degree in Computer Vision, Robotics, Machine Learning, Artificial Intelligence, Computer Science, or a related STEM field
• Research experience in robotics, 3D computer vision, deep learning, such as multimodal or 3D generative modeling, predictive world models, scene understanding, egocentric perception, learning from demonstration, reinforcement learning, or learning-based robotic control
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and Python
• Experience communicating research to public audiences of peers
• Interpersonal experience: cross-group and cross-culture collaboration
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred Qualifications

• Intent to return to the degree program after the completion of the internship/co-op
• Experience working with physics simulation platforms (e.g., Isaac Sim, Isaac Lab, MuJoCo)
• Hands-on experience with real robot hardware, such as collecting data on, debugging, or deploying learned policies to physical robots, beyond simulation alone
• Experience training or evaluating large-scale robot foundation models (e.g., VLAs, WAMs), world models, or generative video models
• Experience applying 3D computer vision to embodied AI, such as 3D scene understanding, reconstruction, or 3D-aware policies and world models
• Experience with action or goal representation learning, such as latent action models or goal-conditioned policy learning
• Experience integrating tactile, force/torque, or other non-visual sensing into robot learning
• Experience with reinforcement learning, long-horizon planning, kinematics, or sim-to-real transfer
• Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g., GitHub)
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, or publications at leading conferences or journals such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, CoRL, RSS, ICRA, or IROS
• Ability to commit to 24 consecutive weeks

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.

Equal Employment Opportunity

Meta is proud to be an Equal Employment Opportunity employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

You may view our Equal Employment Opportunity notice here .

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .

Apply for this job

Take the first step toward a rewarding career at Meta. Apply now

APPLY NOW

Find your role

Explore jobs that match your skills and experience. Search by technology, team or location to find an opening that’s right for you.

View jobs

Meta AI

Recruiters can view your conversations with AI. Using AI is optional and does not impact the outcome of your application process. Learn more

about AI usage and settings.

Sign up

to ask follow-up questions

Job Search

Technology Teams

Artificial Intelligence Creative Infrastructure Metaverse and Wearables Product and Program Management Research and Data Security Software Engineering

Business Teams

Business Operations Partnerships Sales and Marketing

Career Programs

Research Accelerate Eng Talent Students and Grads Rotational Programs

Working at Meta

Accessiblity and Engagement Benefits Culture Hiring Process

My account

Career profile Account settings Messages

Meta Careers Blog

Meta Tech Podcasts

About us

About Meta

Media gallery Brand resources For investors Looking for contractor roles?

Job Search

Technology Teams

Artificial Intelligence

Creative

Infrastructure

Metaverse and Wearables

Product and Program Management

Research and Data

Security

Software Engineering

Business Teams

Business Operations

Partnerships

Sales and Marketing

Career Programs

Research

Accelerate Eng Talent

Students and Grads

Rotational Programs

Working at Meta

Accessiblity and Engagement

Benefits

Culture