Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free AR/MR/VR, and push the future of computing platforms. We are a team of world-class experts developing and shipping products at the intersection of hardware, software and content.The Core-AI team brings together a team of applied CV ML researchers working on a range of problems in Mixed/Virtual and Augmented Reality including 3D Vision, Neural Rendering, 3D Generative-AI, Vision Language Models, Scene Understanding, and Neural Avatars. We do a mix of fundamental research and technology development. We are seeking researchers with a background in 3D Computer Vision to join our team.
Research Scientist - Computer Vision - XR Tech Core AI Responsibilities:
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- Conduct applied research to advance the State of the Art in 3D Computer Vision (Depth Estimation, 3D Spatial Reasoning, Segmentation, Neural Rendering) and Vision Language / Multimodal Models.
- Apply research to advance Meta's VR, MR and AR products and experiences.
- Consistently and sustainably advance the state of the art for your problem, including setting and executing against roadmaps for 6-month plus timeframes.
- Collaborate with different cross-functional teams across the globe in research and product.
- Present the outcomes of the research findings as papers in world class conferences in the area of CV and Graphics.
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Proven development skills in Deep Learning, working with PyTorch or TensorFlow.
- Experience developing computer vision algorithms or infrastructure in Python or C/C++.
- Experience in one or more of the following areas: deep learning, Computer Vision, AR/VR, 3D Vision, Robotics, Machine Learning or artificial intelligence
- First-authored publications at peer-reviewed conferences, e.g. CVPR, ECCV, ICCV, NeurIPS, SIGGRAPH.
- PhD in Computer Science or a related field with published projects in the fields of machine learning, Deep learning and/or computer vision.
- Experience solving complex problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward.
- Experience with CPU/GPU and mobile optimization.
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.
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, 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 accommodations-ext@fb.com.
$177,000/year to $251,000/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.