Meta - Redmond, WA

posted 2 months ago

Full-time - Intern
Redmond, WA
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About the position

The Meta Reality Labs Research Team is at the forefront of developing the future of augmented reality (AR) and virtual reality (VR). The Surreal Vision group within this team is seeking exceptional Research Scientist Interns to contribute to groundbreaking research in egocentric machine perception and the creation of digital twins of 3D scenes. This role involves tackling cutting-edge research problems and innovating novel computer vision and machine learning techniques. Interns will collaborate with researchers to enable advancements across various research disciplines, including the development of novel object and scene reconstruction methods that recover the physical properties and functionalities of real-world objects and environments through egocentric machine perception. Additionally, interns will be responsible for building datasets that support physical scene understanding, estimating egocentric human states, and understanding motion using multimodal data. The role also encompasses egocentric 3D reconstruction and scene understanding, which includes tasks such as 3D segmentation and 3D bounding box detection for both static and dynamic scenes. Internships are designed to last between twelve (12) to twenty-four (24) weeks, with various start dates available throughout the year. As a Research Scientist Intern, you will plan and execute innovative research and development projects aimed at advancing the state-of-the-art in machine perception, state estimation, and the reconstruction and rendering of 3D objects and scenes. You will collaborate with other researchers and engineers across machine perception teams at Meta to develop experiments, prototypes, and concepts that push the boundaries of AR/VR and AI systems. Furthermore, you will work closely with the team to design, set up, and run practical experiments and prototype systems related to large-scale, high-quality sensing and machine reasoning.

Responsibilities

  • Plan and execute cutting-edge research and development to advance the state-of-the-art in machine perception, state estimation, reconstruction, and rendering of 3D objects and scenes.
  • Collaborate with other researchers and engineers across machine perception teams at Meta to develop experiments, prototypes, and concepts that advance the state-of-the-art in AR/VR and AI systems.
  • Design, set up, and run practical experiments and prototype systems related to large-scale high-quality sensing and machine reasoning.

Requirements

  • Currently has, or is in the process of obtaining a PhD degree in the domain of computer vision, computer graphics, 3D machine perception, or machine learning.
  • Knowledge and hands-on experience working with 3D and projective geometry, in addition to image-space computer vision.
  • Hands-on experience implementing 3D computer vision algorithms as well as end-to-end training of ML models from data collection and design to evaluation.
  • Experience working within Python environments such as PyTorch.
  • Experience working in a Unix environment.
  • Interpersonal experience: cross-group and cross-culture collaboration.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Nice-to-haves

  • 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, ECCV/ICCV, SIGGRAPH/SIGGRAPH Asia, ICLR, and NeurIPS.
  • Strong track record of published research in the fields of neural reconstruction, inverse rendering, neural rendering, object reconstruction and tracking, generative modeling.
  • Strong programming experience using Python and PyTorch.
  • Demonstrated software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
  • Availability for a 24 consecutive week internship.
  • Intent to return to a degree program after the completion of the internship.

Benefits

  • $7,500/month to $11,333/month compensation based on skills, qualifications, experience, and location.
  • Comprehensive benefits package including health insurance, dental insurance, and vision insurance.
  • Opportunities for professional development and continued education.
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