Deep Learning Engineer - Compound Eye - Redwood City

Compound Eye enables cars and other robots to understand their surroundings in 3D and in real-time using only passive sensors like cameras. We return far more information about the environment than active sensors like radar and lidar for a fraction of the cost. Our mission is to bring superhuman senses to existing vehicles and to enable mass production of fully autonomous systems.

We’re looking for a few great engineers and scientists. 

In case you'd like to know: 
We have no non-technical managers. We already have revenue and we recently raised a large Series A round led by a tier one VC. We're building out a new office in Redwood City CA, not far from the Caltrain station. We do not have set working hours and are open to you working remotely one or two days a week.

Responsibilities: 

  • Lead our 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. 
  • Help to recruit and potentially lead a team of similarly-qualified engineers.

Required: 

  • Strong foundation 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 definitely 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).
First application date:
Employment type: Full-time

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