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Deep learning engineer – up to $220k – autonomous robotics startup

Skyrocket Ventures

This is a Full-time position in San Francisco, CA posted December 11, 2019.

Deep Learning Engineer up to $220k Autonomous Robotics StartupMenlo Park, CAThe company has recently closed Series A funding from top investors.

Their technology is in the realm of 3D perception and reconstruction, depth sensing, computer vision, and autonomous robots (including autonomous vehicles).Their mission is to allow all autonomous machines to see, and the 3D vision technology they have built is the first of its kind and is superior to existing alternatives used by established companies.

The company is led by industry veterans with proven success in launching and building highly successful startups.In this position you would be leading the company’s deep learning efforts, and designing and training convolutional neural networks for a variety of computer vision tasks.

You could potentially build out and lead a team of several more deep learning engineers over the next year.In addition to very competitive salary (up to $220k) the company will provide significant equity which could be very lucrative.Job Responsibilities: Leading the company’s research in 3D scene understanding Designing and implementing state-of-the-art networks for object detection, semantic segmentation, depth estimation and more Overseeing the acquisition and labeling of the company’s unique proprietary RGBD dataset Helping to recruit and possibly leading a team of similarly-qualified engineersQualifications: At least 2 years of professional or academic experience in deep learning as applied to video or image analysis An MS or PhD in CS, EE or equivalent experience Solid knowledge of machine learning, statistics, and linear algebra Experience with TensorFlow or PyTorch Solid programming ability in C, C++ or PythonNice to have: At least 5 years of industry experience in software development Publications at major conferences Knowledge in self-supervised learning Experience building robots Experience optimizing NNs for constrained platforms such as embedded platforms and mobile phones