FAIR Robotics - AI Research Scientist

OverviewAt Meta, we’re building the future of human connection and the technology that enables it. This means continuously inventing and developing technologies for the next generation of experiences. To enable AI to perceive what is inaccessible through vision, build richer world models, and interact with the real world, we're focused on the path towards reaching advanced machine intelligence. To continue our efforts in the path to AGI, and as we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across a broad range of disciplines from robotics and hardware to machine perception, artificial intelligence, and operating systems. These crucial projects and initiatives taken on by this team have never been done before, so you have a rare opportunity to help us create new ways people connect around the world.ResponsibilitiesPerform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligenceConduct research and develop state-of-the-art AI approaches for dexterous robot manipulation that leverages rich sensing functionality on robot handsDesign and conduct experiments, analyze data, and document the findings in the form of technical reports and publicationsCollaborate with the broader team of researchers on the project, and influence project direction based on your area of expertise and experimental findingsMinimum QualificationsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experiencePhD degree in the field of Artificial Intelligence, Robotics, a related field, or equivalent practical experience2+ years of industry experience in relevant robotics related research areas, such as: action-conditioned world models, task and motion planning, robotic control, manipulation, navigation, or generally embodied AIExperience in deep learning frameworks (such as pytorch, tensorflow), C, C++, PythonExperience in robotics frameworks like ROS, along with experience working with robot simulations and hardwarePreferred QualificationsProven 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, 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 sourcesExperience building systems based on machine learning and/or deep learning methodsExperience solving complex problems and comparing alternative solutions, tradeoffs, and broad points of view to determine a path forwardExperience working and communicating cross functionally in a team environmentResearch experience in machine learning, computer vision, representation learning, optimization, statistics, applied mathematics, or data scienceAbout MetaMeta 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.EEO and AccommodationsMeta 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, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at $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. #J-18808-Ljbffr

Created: 2025-09-17