Robotics Control Policy Researcher - Reality Labs Research

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.

Our team is looking for a roboticist and experienced ML researcher to work with a collaborative team of researchers within Meta’s Reality Lab Research team. This team is leveraging groundbreaking advances in tools for human data collection, novel embodiments and ML-based control policies, thereby paving the way for generalizable and reliable robotic manipulators. You will work with a diverse and highly interdisciplinary team of researchers, engineers, and designers, and will have access to cutting edge technology, resources, and testing facilities.Robotics Control Policy Researcher - Reality Labs Research Responsibilities

• Conducting collaborative research on developing control policies for a range of robotics platforms
• Development of brand new machine learned control policies such as Video Language Action models, Imitation Learning, and Reinforcement Learning
• Development of robotic data collection sets and evaluations

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Ph.D. in computer science, engineering, or relevant degree and 5+ years experience working in robotics or related field
• 5+ years experience with generative AI models such as transformers, LLMs, VLMs, VLAs, and diffusion models
• 5+ years programming in Python, PyTorch, or JAX
• A track record of research output with your 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)

Preferred Qualifications

• Experience with robotics data collection for training models
• Understanding of modeling and analysis used in robotics including kinematics, dynamics, motion planning, perception, task planning, and control theory
• Experience working with robot manipulation

For those who live in or expect to work from California if hired for this position, please click here for additional information. LocationsAbout 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 + 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.

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