Meta
AI Research
Computer Vision
Research
Research Scientist, Computer Vision (Vision Language Models) Responsibilities
- Conduct applied research to advance the State of the Art in 3D Computer Vision (Depth Estimation, 3D Spatial Reasoning, Segmentation) and Vision Language / Multimodal Models
- Apply research to advance Meta's MR and AR products and Spatial Computing 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/ML and Graphics
Minimum Qualifications
- PhD in Computer Science or a related field with published projects in the fields of machine learning, deep learning and/or computer vision
- 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
Preferred Qualifications
- Industry experience working on projects on Vision Language Models, Semantic Understanding (segmentation or semantic keypoints), depth estimation, or feed-forward 3D Reconstruction
- Experience solving complex problems and comparing alternative solutions, trade-offs, and broad points of view to determine a path forward
- Experience with CPU/GPU and mobile optimization
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.
Equal Employment Opportunity
Meta 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.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.
