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Meta is hiring a Research Scientist, Applied Computer Vision

Meta is seeking an Applied Research Scientist 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.Research Scientist, Applied Computer Vision 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)
  • Key contributor to papers/projects that hold a position towards remarkable contribution to both the field & company and that have general applicability
  • Work on a single large initiative or multiple projects of high complexity/scope where you can define a fairly clear long term objective with short and medium term sub-tasks as milestones
  • Independently lead projects and work cross-functionally to bring research advancements to production teams and Meta Products
  • Setting research direction that helps in the broader research program
  • Influence progress of relevant research communities by producing publications
  • Devise better data-driven models of human behavior

Minimum Qualifications

  • Experience holding a faculty, industry, or government researcher position
  • Publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields
  • Experience leading a team in solving modeling problems using AI/ML approaches
  • Experience in applying research to production problems
  • Experience communicating research for public audiences of peers
  • Knowledge in a programming language
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred Qualifications

  • 1+ years of work experience in a university, industry, or government lab(s), in a role with primary emphasis on AI research
  • Experience driving original scholarship in collaboration with a team
  • 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#

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 committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to

$173,000/year to $241,000/year + bonus + equity + benefits

Apply Now

Mention when you apply so they know you're a genuine candidate.

Burlingame, CA

Meta - AI/ML Jobs


Compensation: $170,000 - $240,000

Location: Burlingame, CA

Apply Now

Mention when you apply so they know you're a genuine candidate.