Research Scientist Intern, Multimodal Learning for Robotics (PhD)

At Reality Labs Research, our goal is to explore, innovate and design novel interfaces and hardware for the next generation of virtual, augmented, and mixed reality experiences. We are driving research towards a vision of natural, seamless experiences in XR environments that are effective, enjoyable, and functionally indistinguishable from those in the real world.

As a Research Scientist Intern, you will work at the intersection of robotic control, machine learning, and human-robot interaction, and you will have the opportunity to work with world-leading collaborators and mentors in these fields. Your primary focus will be on developing CV and tactile based algorithms that can be used for robotic control learning in dextrous manipulation tasks.

Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. Some projects may require a minimum of 16 consecutive weeks.Research Scientist Intern, Multimodal Learning for Robotics (PhD) Responsibilities

• Conduct collaborative research on developing CV and tactile based algorithms for both human and robotics data.
• Develop robotic data pipelines for robotic dextrous manipulation, train models, and benchmark different algorithms.
• Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.

Minimum Qualifications

• Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Robotics, or relevant technical field
• Experience in computer vision, with active contributions in at least one subdomain (3D reconstruction, hand pose estimation, object pose estimation) and strong familiarity across all
• Understand state of the art in robotic manipulation control policies, with experience in physics based simulators like Mujoco
• Experience with Python, PyTorch or JAX, or other related languages
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred Qualifications

• 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 Robotics (RSS, ICRA, IROS, CoRL, T-RO, IJRR), Machine Learning (NeurIPS, ICML, ICLR, AAAI, JMLR), and Computer Vision (CVPR, ICCV, ECCV, TPAMI), or similar
• Experience with multimodal learning including but not limited to tactile data
• Experience working with robot manipulation
• Experience with building pipelines with foundation CV models, for example, CLIP, DinoV2 or SAM2
• Experience working and communicating cross functionally in a team environment
• Intent to return to the degree program after the completion of the internship/co-op
• Availability for minimum 16 consecutive week internship

For those who live in or expect to work from California if hired for this position, please click here for additional information. 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.
$7,650/month to $12,134/month + benefits

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.



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 cond