Deep Learning Engineer - A Greater Source

    About this role

  • Location

    San Francisco Bay

  • Salary


  • Type


  • Division

    Autonomous Vehicles Jobs

  • Reference

    CCSt - DLE_1566401778

  • Start date


  • Managing this role

Principal Consultant

Chinelle Clarke

+1 213 423 0504


Source are working with an Autonomous Vehicles company based in the San Francisco Bay that are building the next generation of autonomous vehicles.

Due to their expansion they are looking for a Deep Learning Engineer that will lead their research into 3D scene understanding, oversee acquisition and labeling of a unique proprietary RGBD dataset. Design and implement state-of-the-art networks for semantic segmentation, object detection, depth estimation and more.

Their technology enables cars and robots to understand their surroundings in 3D and in real time using passive sensors like cameras.

What you’ll need to be considered:

  • Strong experience in machine learning, statistics, and linear algebra.
  • MS or PhD in Computer Science or equivalent.
  • 2+ years of academic or professional experience in deep learning as applied to image or video analysis.
  • Fluent in Python, familiar with C++.
  • Deep knowledge of TensorFlow or PyTorch

Nice to have but not required:

  • 5+ years of professional software development experience with strong engineering practices.
  • Experience with self-supervised learning techniques
  • Experience in optimizing NNs for constrained platforms (mobile or embedded).


  • Generous salary packages
  • Full Medical
  • Paid lunches
  • Equity
  • 401K

Not considering graduates for this role.

Applicants will only be considered with word formatted resume.

If you would like to know more, forward a recent resume and a good time to arrange a call

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