[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Meta Platforms jobs](https://jobs.opennash.com/companies/meta-platforms/) · [Search jobs](/search/) Meta Platforms · Burlingame, CA # Research Scientist Intern, Multimodal Learning for Robotics (PhD) Burlingame, CA Early career Research & Science Listed on Meta Platforms’s official careers site. Listed as of November 1, 2026. Check that it is still open and apply there. [Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/1656954472496223/) [OpenNash Jobs](https://jobs.opennash.com/) / [Meta Platforms](https://jobs.opennash.com/companies/meta-platforms/) / Research Scientist Intern, Multimodal Learning for Robotics (PhD) ## Job description 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. ## 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. ## 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 - 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 ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Oct 25, 2026 - Last checked: Nov 1, 2026 - Listed for: 7 days - Location: Burlingame, CA[Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/1656954472496223/) ## Hiring at Meta Platforms - Open jobs: 1,310 - New in the last 7 days: After two weekly collections - Tracked since: Jul 11, 2026 [All Meta Platforms jobs](https://jobs.opennash.com/companies/meta-platforms/) · [Weekly hiring report](/reports/hiring/) ## More jobs at Meta Platforms ### [Business Operations Associate, Wearables](https://jobs.opennash.com/companies/meta-platforms/jobs/12aee3831c1523c396ae/) Burlingame, CA ### [Creative Director, Human Interface](https://jobs.opennash.com/companies/meta-platforms/jobs/a9e124b26698d3ee947f/) Burlingame, CA ### [Director of Product Marketing, Wearables Software](https://jobs.opennash.com/companies/meta-platforms/jobs/49862e2c2a4241698943/) Burlingame, CA ### [Engineering Manager, OS Frameworks](https://jobs.opennash.com/companies/meta-platforms/jobs/30536b3c40e1001021ea/) Burlingame, CA ### [Field Service Engineer, Robotics](https://jobs.opennash.com/companies/meta-platforms/jobs/a8a4caa63ee9cc2f0b16/) Burlingame, CA ## Similar jobs at other companies ### [Research Intern - Interactive Multimodal Futures Group (Situated, Social & Ubiquitous Computing)](https://jobs.opennash.com/companies/microsoft/jobs/e0dc2a5469f2ccffb334/) Microsoft · United States, Washington, Redmond ### [Senior Applied Research Scientist, Multimodal Foundation Models – Healthcare](https://jobs.opennash.com/companies/nvidia/jobs/2c3130c56e44a394a5bb/) NVIDIA · US, CA, Santa Clara ### [Applied Machine Learning Research Engineer - Multimodal for Human Understanding](https://jobs.opennash.com/companies/apple/jobs/a421ec84b9a7b430ecb5/) Apple · Sunnyvale, United States of America ### [Senior Research Scientist, Multimodal Foundation Models and Robotics](https://jobs.opennash.com/companies/nvidia/jobs/8ef97f155fc33ed9a5ce/) NVIDIA · US, CA, Santa Clara ### [AI Research Scientist: Multimodal Foundation Models - Architecture, Pre-Training & Distillation](https://jobs.opennash.com/companies/apple/jobs/ddec3d9e4aa9f99c549d/) Apple · Seattle, United States of America OpenNash lists jobs from employers’ own careers sites and does not handle applications. Dates come from the employer where stated; “first seen” and “last checked” are our own observations. OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)