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Job

Research Scientist, Computer Vision for Mixed and Virtual Reality (PhD)

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Meta

25d ago

💼 Graduate Job

Bellevue

AI generated summary

  • You need a PhD or in progress, research experience in computer vision, strong Python and PyTorch skills, work authorization, track record of results, and ability to collaborate in a team environment to excel in this role.
  • You will conduct cutting-edge research in computer vision and machine learning for mixed and virtual reality applications, collaborating with a global team and presenting findings at top conferences.

Graduate Job

Research & Development, Software EngineeringBellevue

Description

  • Meta Reality Labs brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. Just as personal computers have done over the past 45 years, AR and VR will ultimately change everything about how we work, play, and connect. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interface, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR and VR that are so compelling that they become an integral part of our lives.
  • The Core-AI team brings together a world class team of applied CV ML researchers working on a range of problems in Mixed and Virtual Reality including Neural Rendering, 3D Generative-AI, Scene Understanding and Neural Avatars. We do a mix of fundamental research and technology development. We are seeking exceptional researchers with a background in 3D Computer Vision to join our team.

Requirements

  • Minimum Qualifications:
  • Currently has, or is in the process of obtaining a PhD in Computer Science, Computer Vision, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
  • Research experience in machine learning, deep learning, computer vision, or related fields.
  • Programming experience in Python and hands-on experience with frameworks such as PyTorch.
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
  • Preferred Qualifications:
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as CVPR, ICCV, ICRA, ECCV, NeurIPS, AAAI, ICLR, SIGGRAPH.
  • Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
  • Experience working and communicating cross functionally in a team environment.
  • Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.

Education requirements

Currently Studying
PhD

Area of Responsibilities

Research & Development
Software Engineering

Responsibilities

  • Conduct applied research to advance the State of the Art in 2D and 3D Computer Vision and Machine Learning (Neural Rendering, Depth Estimation, Generative-AI for Avatars, Deep Metric Learning).
  • Work towards long-term ambitious research goals, while identifying intermediate milestones.
  • Contribute to and apply research that advances Meta products in VR/MR and AR.
  • Conduct and collaborate on research projects within a globally-based team.
  • Present the outcomes of the research findings as papers in top tier conferences in the area of CV and Graphics.

Details

Work type

Full time

Work mode

office

Location

Bellevue