Fundamental AI Research Scientist, Computer Vision - FAIR
Meta

Menlo Park, California
$0.00 - $100.00 per hour

This job has expired.


Meta is seeking a Research Scientist to join our AI Research Team, a research organization focused on making significant progress in AI as well as applying AI to the Meta Platforms products. Individuals in this role are expected to be recognized experts in artificial intelligence and machine learning, particularly in areas such as deep learning, computer vision, and reinforcement learning.

Fundamental AI Research Scientist, Computer Vision - FAIR Responsibilities:

  • Develop algorithms based on state-of-the-art machine learning and neural network methodologies.
  • Conduct research to advance the science and technology of intelligent machines.
  • Conduct research that enables learning the semantics of data (images, video, text, audio, speech and other modalities).
  • Contribute to and apply research that advances Meta Platforms products.
  • Conduct and collaborate on research projects within a globally-based team.


Minimum Qualifications:

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • PhD in computer vision and/or machine learning or related areas.
  • 2+ years of industry, academic, or government lab experience in computer vision and/or machine learning.
  • Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
  • Experience communicating research for public audiences of peers.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.


Preferred Qualifications:

  • First-authored publications at peer-reviewed conferences (e.g. CVPR. ECCV, ICCV, NeurIPS, and SIGGRAPH).
  • 4+ year(s) of work experience in an industry, university, or government lab.


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.


This job has expired.

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