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Research Scientist Intern, Computer Vision/Deep Learning (PhD)

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Meta

Feb 12, 2024

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Research & Development
    Software Engineering
  • Seattle

Requirements

  • Currently has, or are in the process of obtaining a PhD degree with specialization in computer vision and machine learning, such as computer science, electrical engineering, automation, or equivalent.
  • Experience in one or more of the following research fields such as indoor and outdoor semantics/scene understanding, neural scene representations (e.g., NeRF, gsplat, PiFU), 3D mapping & localization, multi-view geometry, SLAM, 3D reconstruction, sensor data fusion.
  • Proficient in Python with 1+ year experience in deep learning frameworks like PyTorch, TensorFlow, JAX.
  • Prior knowledge in neural networks and computer vision concepts.
  • Ability to implement complex algorithms from research papers.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
  • Interpersonal experience: cross-group and cross-culture collaboration
  • Preferred Qualifications:
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, ICCV, ECCV, ICLR, 3DV, BMVC, MICCAI as first author.
  • Previous experience, either full-time or as an intern, in computer vision or machine learning.
  • Intent to return to degree-program after the completion of the internship/co-op

Responsibilities

  • Literature study on the scientific state of the art for the given problem
  • Collaboration with other researchers from the assigned team and related teams
  • Development of algorithms to improve on the scientific state of the art for the given problem
  • Implementation of those algorithms in code and integration in our production systems
  • Design and execution of experiments suited to analyze the algorithm’s effectiveness
  • Regular communication of the research agenda, progress, and results, and writing a paper for publication.
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Meta

Technology
Industry
10,001+
Employees
2004
Founded Year

Mission & Purpose

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.