Software Engineer Intern, 3D Computer Vision (PhD)

Company:  Karkidi
Location: Menlo Park
Closing Date: 02/11/2024
Salary: £150 - £200 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

  • 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.

Minimum Qualifications

  • 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.

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