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3D Perception for Autonomous Machines

Deep Learning Engineer

$175k – $250k • 0.25% – 1.0%
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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. You will be one of the first 10 people on the team.

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).

 
 
 

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