AI Research Scientist - Computer Vision (Technical Leadership)
Bellevue, WA | Menlo Park, CA | Seattle, WA | New York, NY | San Francisco, CA
Meta
Giving people the power to build community and bring the world closer together- Help Advance the science and technology of intelligent machines
- Contribute to research that enables learning the semantics of data (images, video, text, audio and other modalities)
- Work on projects, strategies, and problems of moderate to high complexity and scope. Can identify and define both short & medium term objectives
- Design policies, processes, procedures, methods, tests, and/or components, from the ground up and with the understanding of how to put together end-to-end systems
- Independently lead projects and work cross-functionally to bring research advancements to production teams and Meta Products
- Influence progress of relevant research communities by producing publications
- Devise better data-driven models of human behavior
- Plan and execute cutting-edge research and development to advance the state-of-the-art in machine perception, mapping, reconstruction and localization, as well as 3D scene understanding across optical/inertial/wireless sensing systems
- Collaborate with other researchers and engineers across machine perception teams at Meta to develop experiments, prototypes, and concepts that advance the state-of-the-art in AR/VR systems
- Work with the team to help design, setup, and run practical experiments and prototype systems related to large-scale long-duration sensing and machine reasoning
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- PhD in the following fields: Computer Vision, Robotics, State Estimation, 3D Reconstruction, Object Tracking, Physics based models, or a related field
- Experience in applying research to production problems
- Experience leading a team in solving modeling problems using AI/ML approaches
- Experience communicating research for public audiences of peers
- Proven publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields
- Experience with real world system building and data collection, including design, coding (C++) and evaluation (C++/Python)
- Hands-on experience implementing 3D computer vision algorithms, Sensor Fusion, Reconstruction, Object Tracking, Mapping, and Image Processing
- Experience holding a faculty, industry, or government researcher position in a role with primary emphasis on AI research
- Experience showing first-author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)
- Experience in developing and debugging in C/C++, Python, or C#
- Experience in real-time computer graphics or modern GPU programming (CUDA, OpenGL, OpenCL)
- Experience with designing (products or open-source) software for inertial/optical/wireless sensing devices
- Experience working in a Unix environment
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.
Tags: 3D Reconstruction Computer Science Computer Vision CUDA Deep Learning Engineering GPU ICLR ICML Machine Learning Mathematics NeurIPS NLP Open Source PhD Physics Python Reinforcement Learning Research Robotics Statistics VR
Perks/benefits: Career development Conferences Equity / stock options Health care Salary bonus
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