At Reality Labs Research (RL-R), our goal is to explore, innovate and design novel interfaces and hardware subsystems for the next generation of virtual, augmented, and mixed reality experiences.We are looking for a Research Scientist with expertise in multimodal ML and CV and experience in robotics applications to join our team within Reality Labs Research. You will work on advancing the state of the art for hand-centric foundation models for dexterous manipulation by leveraging groundbreaking advances in tools for human and robot data collection. You will work with a broad and highly interdisciplinary team of researchers, engineers, and designers, and will have access to cutting edge technology, resources, and testing facilities.Robotics ML/CV Research Scientist, Reality Labs Research ResponsibilitiesDevelop machine learning and computer vision models for applications such as robotics, dexterous manipulation, hand pose estimation, object detection, contextual understanding, and gesture recognitionDesign and implement ML pipelines and systems that collect and process datasets and enable algorithm experimentationDevelop experimental protocols for human-subjects research and collaborate across an interdisciplinary team to collect multimodal datasets from prototype wearable sensing systemsMinimum QualificationsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Ph.D. in Artificial Intelligence, Robotics, Computer science, relevant technical field, or equivalent practical experience5+ years experience in advanced ML techniques such as representation learning, self-supervised learning, cross-embodiment, multimodal learning, vision-language-action (VLA) models, reinforcement learning, imitation learning, LLMs, and/or robotics policy development5+ years experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and programming in Python2+ years experience in robotics-related research areasExperience manipulating and analyzing complex, large scale, high-dimensionality multimodal data from varying sourcesPreferred QualificationsA track record of research output with work published in top conferences and journals such as Robotics (RSS, ICRA, IROS, CoRL, T-RO, IJRR), Machine Learning (NeurIPS, ICML, ICLR, AAAI, JMLR), and Computer Vision (CVPR, ICCV, ECCV, TPAMI)Experience designing data collection protocols and constructing high quality machine learning datasetsExperience bringing-up and debugging prototype/scientific software-hardware systems (e.g., robotics platforms, multi-camera sensing/tracking solutions, wearable sensing systems)Experience working and communicating cross-functionally to collaborate across disciplines and organizations 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. $147,000/year to $208,000/year + bonus + equity + benefitsIndividual 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 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.