AI Research Scientist, Fundamental - (FAIR) Embodied AI / Robotics

Meta is seeking a Research Scientist to join Fundamental AI Research (FAIR), a research organization focused on making significant progress in AI. Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, robotics, and embodied AI, particularly including areas such as deep learning, world models, reinforcement learning, robot control and planning, imitation learning and representation learning. You should have a keen interest in producing new, open science to make embodied agents more intelligent.AI Research Scientist, Fundamental - (FAIR) Embodied AI / Robotics Responsibilities

• Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence.
• Investigate world modeling paradigms that can deliver a spectrum of embodied behaviors on real robots.
• Invent/improve novel data-driven paradigms for embodied intelligence leveraging a variety of modalities (images, video, text, audio, tactile, etc).

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• PhD degree in the field of Artificial Intelligence, Robotics, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta.
• 1+ years of industry or PostDoctoral experience in relevant robotics related research areas, such as: action-conditioned world models, task and motion planning, robotic control, manipulation, navigation, or generally embodied AI
• Experience in deep learning frameworks (such as pytorch, tensorflow), C, C++, Python.
• Experience in robotics frameworks like ROS, along with experience working with robot simulations and hardware.

Preferred Qualifications

• 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), and Computer Vision (CVPR, ICCV, ECCV).
• Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
• Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources.
• Experience building systems based on machine learning and/or deep learning methods.
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
• Experience working and communicating cross functionally in a team environment.
• Research experience in machine learning, computer vision, representation learning, optimization, statistics, applied mathematics, or data science.

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 + 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.

Equal Employment Opportunity and Affirmative Action Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orient