Research Engineer, Computer Vision and Multimodal - FAIR

Employer

Job Description

We are looking for an experienced Research Engineer to join our computer vision/multimodal perception team in FAIR. Our team is pushing the frontiers for multimodal perception, motivated by the future of augmented reality and mixed reality. We address fundamental research challenges and explore creative new experiences that they will enable.We are looking for an AI research engineer to join our team, particularly with background in computer vision, multimodal perception, NLP, or HCI+perception. Important problem areas include first-person or “egocentric video, joint video and language learning, video-conditioned large language models, human-computer interaction in AR, 3D reconstruction and visualization, fine-grained activity recognition, and video temporal segmentation and alignment.Responsibilities include leading, collaborating, and executing on research that pushes forward the state of the art; contributing to experimental design, implementation, evaluation, and reporting results; working with and creating large datasets and benchmarks.

Research Engineer, Computer Vision and Multimodal - FAIR Responsibilities:

  • Leading, collaborating, and executing on research that pushes forward the state of the art
  • Contributing to experimental design, implementation, evaluation, and reporting results
  • Working with and creating large datasets and benchmarks

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Masters in computer science, computer engineering, or relevant technical field
  • 3+ years of industry experience in computer vision and/or machine learning
  • Research experience in one or more of these areas: computer vision, multimodal perception, NLP, or HCI+perception
  • Experience writing software and executing complex experiments
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:

  • PhD in computer vision and/or machine learning or related areas
  • 4+ years of industry, academic, or government lab experience in computer vision and/or machine learning
  • Publication record in top-tier venues (ICCV, CVPR, NeurIPS, ICML, ACL, NAACL, CHI, ISMAR, UIST, VR, etc.)
  • Experience with frontend and backend development, React AR, graphics and 3d rendering, Unity, Unreal engine, real-time on-device experience development, and/or mobile device development

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.