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Meta

AI Research Scientist - Computer Vision (Technical Leadership)

New York, NY

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.

AI Research Scientist - Computer Vision (Technical Leadership) Responsibilities:

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  • 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:
  • 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:
  • 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
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.

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.

Client-provided location(s): New York, NY, USA
Job ID: a1K2K000008Ua7rUAC_1005
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Leave of Absence
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Pension
    • Company Equity
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)
    • Founder led

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