About The Position

Reality Labs (RL) teams are looking for exceptional interns to help us create next generation interaction technologies for virtual and augmented reality. Join a full-stack team working on computer vision, machine learning, and on-device deployment. We are looking for applications interested in (but not limited to) the following areas: -Geometry-aware vision models -Domain generalization -Domain adaptation -On-device model optimization -Vision foundation models Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.

Requirements

  • Currently has, or is in the process of obtaining, a PhD degree in EE/CS, Applied Math or a related STEM field
  • Experience in Python and common ML frameworks (e.g., PyTorch)
  • Experience in one or more of the following: computer vision, machine learning (e.g. domain generalization, domain adaptation, efficient deep learning), or computer graphics (e.g. appearance, geometry, physically-based modeling)
  • Strong analytical and problem-solving skills with a passion for innovation and cutting-edge research
  • Excellent written and verbal communication skills, with the ability to present complex ideas clearly and concisely
  • Must obtain work authorization in 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, or first-authored publications at leading journals or conferences such as CVPR, ECCV, ICCV, NeurIPS, ICML, ICLR, SIGGRAPH/SIGGRAPH Asia, ICRA, IROS, RSS, TPAMI, IJCV, etc
  • Contributions to open-source projects, publications, or relevant projects demonstrating expertise in synthetic image generation
  • Experience with cloud computing platforms and distributed computing for large-scale experiments
  • Demonstrated software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Experiences working on high volume data with noisy labels

Responsibilities

  • Develop and prototype advanced technologies in the domain of 3D computer vision and machine learning for AR/VR/MR related applications
  • Conduct in-depth literature reviews, build knowledge of the latest advancements in the target areas
  • Analyze the data characteristics, accuracy, efficiency, and generalizability of models to enhance model performance
  • Document and share research findings, contribute to technical reports, and potentially publish in academic or industry conferences/journals.
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