Meta - Seattle, WA

posted 4 months ago

Full-time - Mid Level
Seattle, WA
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About the position

Meta FAIR is one of the leading industrial research organizations globally, and within the FAIR Perception team, we are at the forefront of innovation in computer vision. Our team has published groundbreaking papers such as Segment Anything, Masked Autoencoders, and Hiera, and we work closely with Applied Research and Meta production teams to integrate our research findings into products that connect billions of users. We are on an ambitious journey to build upon the success of Segment Anything and other related works, aiming to create foundational models for both computer vision and language. Our impact is driven by the development of state-of-the-art models, large-scale datasets, and engaging interactive demonstrations. We are seeking strong engineers who are passionate about software engineering and computer vision research to join our team.

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.

Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Master's 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.

Nice-to-haves

  • 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.

Benefits

  • Bonus
  • Equity
  • Health benefits
  • Flexible working hours
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