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Software Engineer Intern, 3D Computer Vision (PhD)

image

Meta

Feb 12

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Software Engineering
  • San Francisco

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 or C++
  • Experience with ML frameworks such as PyTorch or Tensorflow
  • Experience in one or more of the following: 3D computer vision (e.g., Monocular/Stereo Depth Estimation, Multi-View stereo, SLAM) , computer graphics (e.g. appearance, geometry, physically-based modeling), or machine learning (e.g. efficient deep learning, domain adaptation, transfer learning)
  • Strong analytical and problem-solving skills with a passion for innovation and cutting-edge research.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
  • Preferred Qualifications:
  • Demonstrated software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • 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, BMVC, NeurIPS, ICML, ICLR, CHI, 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.
  • Experience working on high-volume image data processing.
  • Excellent written and verbal communication skills, with the ability to present complex ideas clearly and concisely.

Responsibilities

  • Develop and prototype advanced technologies in the domain of 3D computer vision and machine learning.
  • Experiment with cutting-edge machine learning models and frameworks to enhance model performance.
  • Analyze data characteristics, accuracy, efficiency, and generalizability of developed models.
  • Deliver results that have a direct impact on Meta and/or Reality Labs products.
  • Document and share findings and contribute to technical reports.

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.