Job Information
Meta AI Research Scientist - Computer Vision (Technical Leadership) in San Francisco, California
Summary:
Meta is seeking exceptional AI Research Scientists to join our AI organization. Individuals in this role are expected to be recognized experts in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation. The ideal candidate will have an interest in producing new science to understand intelligence and technology to make computers more intelligent, and an equal interest in taking new research findings in this area and implementing it towards production ready problems.
Required Skills:
AI Research Scientist - Computer Vision (Technical Leadership) Responsibilities:
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
Minimum Qualifications:
Minimum Qualifications:
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
Preferred Qualifications:
Preferred Qualifications:
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
Public Compensation:
$213,000/year to $293,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
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.