AI Research Engineer, Computer Vision - FAIR

AI Research Engineer, Computer Vision - FAIR
Location pin icon
Meta FAIR is one of the top industrial research organizations in the world. In the FAIR Perception team, we publish groundbreaking papers (e.g., Segment Anything, Masked Autoencoders, Hiera) and collaborate closely with Applied Research and Meta production teams to bring the latest research findings to Meta's products for connecting billions of users. We are driving an ambitious agenda building on the success of Segment Anything and other related works to create foundation models for computer vision and language. We drive impact by developing state-of-the-art models, massive scale datasets, and compelling interactive demos. We are looking for strong engineers who are enthusiastic about software engineering and computer vision research.
AI Research Engineer, Computer Vision - FAIR Responsibilities
  • Leading, collaborating, and executing on research that pushes forward the state of the art in computer vision
  • Contributing to experimental design, implementation, evaluation, and reporting results
  • Working with and creating large datasets and evaluation benchmarks
  • Collaborating with scientists and engineers in a large cross-functional team
  • Building optimized software tooling and infrastructure to accelerate research outcomes
Minimum Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Masters degree in Computer Science or related technical field, or equivalent practical experience.
  • 3+ years of experience in one or more of the following areas: Deep Learning, Computer Vision, Computer Graphics, Robotics, or AI-Infrastructure
  • Experience writing software and executing complex experiments
  • Research experience in one or more of these areas: computer vision, multimodal perception, NLP, or HCI+perception
  • Experience with Python and PyTorch
Preferred Qualifications
  • PhD in computer vision and/or machine learning or related areas
  • Publication record in AI conferences like ICCV, CVPR, NeurIPS, ICML, ACL, NAACL, CHI, ISMAR, UIST, VR, etc.
  • Experience with C++, CUDA and model optimization
For those who live in or expect to work from California if hired for this position, please click here for additional information.
Locations
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.

$70.67/hour to $208,000/year + bonus + equity + benefits

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.


Equal Employment Opportunity and Affirmative Action
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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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 accommodations-ext@fb.com.