[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 · Menlo Park, CA # Research Engineer, Robotics - Meta Superintelligence Labs Menlo Park, CA Research & Science Listed on Meta Platforms’s official careers site. Listed as of October 18, 2026. Check that it is still open and apply there. [Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/1436360758394361/) [OpenNash Jobs](https://jobs.opennash.com/) / [Meta Platforms](https://jobs.opennash.com/companies/meta-platforms/) / Research Engineer, Robotics - Meta Superintelligence Labs ## Job description Meta is seeking a Robotics and Embodied AI Researcher to join Meta Superintelligence Labs. Individuals in this role are proficient in identified research areas such as artificial intelligence, machine learning, robotics, and embodied AI, particularly including areas such as transfer learning, learning from demonstration, reinforcement learning, action-conditioned world models, perception, representation learning, robot control, navigation, mobile manipulation, dexterous manipulation, and vision-language models. You should have a keen interest in producing new, open science to make embodied agents more intelligent. ## Responsibilities - Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence - Collaborate with research scientists and engineers to design and implement state-of-the-art AI algorithms and models Invent/improve novel data-driven paradigms for robotics, leveraging a variety of modalities (images, video, text, audio, tactile, etc) - Investigate paradigms that can deliver a spectrum of embodied behaviors - from simulated characters to real robots, and from short-horizon, low-level to long-horizon, high-level intelligence - Develop algorithms based on state-of-the-art machine learning and neural network methodologies - Build and benchmark new capabilities needed for the next generation of AI Conduct research towards long-term research goals while identifying intermediate milestones ## Qualifications Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta - Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field Experience with any of the following research areas: robotics, motion planning, embodied AI, human-robot interaction, sim-to-real transfer, learning from demonstration, reinforcement learning, dexterous manipulation, digital agents, vision language models, computer vision, egocentric perception, and/or LLMs Experience with machine learning models, and frameworks such as PyTorch, TensorFlow, etc - Proficiency in programming languages such as Python, C++, or similar - Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV) - 1+ years of experience in robotics or related field, or advanced degree with equivalent experience Experience designing and developing new robotic systems, platforms or infrastructure Experience with robotics frameworks like ROS, along with experience working with robot simulations and real-world hardware Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources Experience solving complex problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward Experience working and communicating cross functionally in a team environment Experience building systems based on machine learning and/or deep learning methods PhD degree in computer science, robotics, AI, or related fields ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Oct 11, 2026 - Last checked: Oct 18, 2026 - Listed for: 7 days - Location: Menlo Park, CA[Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/1436360758394361/) ## More jobs at Meta Platforms ### [AI Research Engineer](https://jobs.opennash.com/companies/meta-platforms/jobs/2ce2068cd9fcf1053dc1/) Menlo Park, CA ### [AI Research Manager - Meta Superintelligence Labs](https://jobs.opennash.com/companies/meta-platforms/jobs/2b9038fb99fde6a938ed/) Menlo Park, CA ### [AI Research Scientist - MSL FAIR Foundations](https://jobs.opennash.com/companies/meta-platforms/jobs/d18ce9293309ea34ebd4/) Menlo Park, CA ### [AI Research Scientist - Meta Superintelligence Labs (Technical Leadership)](https://jobs.opennash.com/companies/meta-platforms/jobs/44ab514fe53310304599/) Menlo Park, CA ### [AI Research Scientist, AI Safety and Security](https://jobs.opennash.com/companies/meta-platforms/jobs/c4a620c30eddb9df62ec/) Menlo Park, CA ## Similar jobs at other companies ### [Senior Robotics Research Engineer, Robotics and AI for Drug Discovery](https://jobs.opennash.com/companies/nvidia/jobs/80821ba857ee58b2360f/) NVIDIA · US, CA, Santa Clara ### [Mechatronics Research Engineer - Special Projects (Robotics)](https://jobs.opennash.com/companies/apple/jobs/e55e8af111bb188256f2/) Apple · Santa Clara, United States of America ### [Senior Tactile Research Engineer - Special Projects (Robotics)](https://jobs.opennash.com/companies/apple/jobs/58984ca56d0b5959e04f/) Apple · Santa Clara, United States of America ### [Manufacturing Robotics Engineer](https://jobs.opennash.com/companies/lockheed-martin/jobs/5e19accf4b14088879ba/) Lockheed Martin · Camden, AR ### [Robotics Validation & Release Engineer](https://jobs.opennash.com/companies/aes/jobs/27f23023aa8f16582f00/) AES · US, Arlington, VA [Research & Science jobs](/functions/research-science/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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