The Reality Labs team at Meta is looking for Computer Vision Researchers to support our Spatial AI team as we build towards our goal to transform the way people come together to interact, work and play. We explore, develop and deliver cutting-edge technologies that serve as the foundations for the current and future Reality Labs products including VR, AR, smart-glasses, AI agents, and robotics. We are committed to driving the state-of-the-art forward through innovation across ML perception in 2D and 3D, for both primitives (e.g. depth, segmentation, and semantic keypoints) as well as high-level (e.g. shape inference, 3D reconstruction, context/semantic understanding). The ideal candidate will help us develop the next generation of spatial and contextualized AI, and lay the foundations for a new computing paradigm that is built from the ground up to understand the physical world from egocentric devices. We are looking for experts in areas such as vision-language models, agentic AI, learning from demonstration, and representation learning. The potential to change the world is immense -- and we're just getting started. We encourage you to apply and join us!Computer Vision/Machine Learning Research Scientist (Spatial AI) ResponsibilitiesDesign and development of novel machine learning algorithms to solve problems in areas such as: vision-language models, agentic AI for multimodal systems, foundation models, 3D reconstruction with deep learning methods, depth estimation, semantic segmentation, 2D and 3D semantic key point detection, and object trackingDefine, build, and benchmark new capabilities needed for the next generation of AICommunicate cross-functionallyDrive the team's goals and technical direction to pursue technical opportunitiesLead and collaborate with multidisciplinary engineering and research teams to develop technologies from early exploration and incubation to productionMinimum QualificationsPhD degree in the field of Artificial Intelligence, Robotics, Computer Vision, Machine Learning, Natural Language Understanding, or equivalent practical experienceSignificant industry experience in relevant areasLeadership experience driving high-risk, high reward projects scientifically, including managing a team of research scientists and communicating to leadershipProven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at conferences such as CVPR, ICCV, NeurIPS, or similarExperience handling concurrent projects where timelines may be ambiguous or changing, and prioritizing by balancing required effort with resulting impactExperience in PythonPreferred QualificationsExperience with distributed systems or on-device algorithm developmentExperience communicating research for public audiences of peersExperience working and communicating cross-functionally in a team environmentSignificant industry experience in relevant robotics related research areas, preferably large multimodal models, agentic AI, 3D reconstruction with deep learning methodsLeadership and interpersonal communication experience in working across many disciplines, driving best practices, and mentorshipExperience with deep learning frameworks (such as pytorch, tensorflow) and PythonExperience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forwardAbout 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.Equal Employment OpportunityMeta 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 .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 .Apply for this jobTake the first step toward a rewarding career at Meta.APPLY NOWFind your roleExplore jobs that match your skills and experience. Search by technology, team or location to find an opening that's right for you.CareersFollow usCareer programsTeamsWorking at MetaMy accountAbout usEqual Employment OpportunityMeta 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 .Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. 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