Research Scientist Intern
Meta
This job at a glance
- Who can apply
- New grads and up to 1 year
- Must know
- Data structures & algorithmsETLPythonPyTorch
- Nice to have
- Machine learningComputer vision
- Work
- On-site in Burlingame · internship
- Pay
- Not stated by the employer.
- Skill demand
- Python28%PyTorch12%Data structures & algorithms9%ETL3%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 12, 2026 · still open
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About the Role
At Reality Labs Research, the goal is to explore, innovate, and design novel interfaces and hardware for the next generation of virtual, augmented, and mixed reality experiences. The vision is to drive research towards 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.
Key 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.
Requirements & Tech Stack
- 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.
Qualifications
- Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Robotics, or a relevant technical field.
- 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 a minimum 16 consecutive week internship.