Job description

Our deep learning team helps autonomous vehicles sense and perceive the world. You will play an important role in creating novel algorithms for advanced perception and applying your algorithm on terabytes of data. You will also work closely with other talents in this field in building the next-generation of autonomous sensing algorithms.

Responsibilities:

· Develop deep learning based perception algorithms, including object detection, lane detection, segmentation, depth estimation, and so on.

· Develop state of the art network structures and training schemes, and evaluate their performance on vision problems

· Perform deep network compression based on ASIC platforms

· Keep up with latest technologies in deep learning and computer vision literature and propose innovative ideas

· Publish patent and research papers

Qualifications:

· MS/PHD in computer science, electrical engineering, or equivalent.

· Mandarin speaking is preferred

· Research and development experience in one or more of the following areas:

· Deep network development, in particular with visual data

· Object detection and tracking

· Stereo / optical flow / depth estimation

· Multi-view geometry, 3D computer vision

· Structure from motion

· Network compression and optimization

· Network based sensor fusion

· Mathematical optimization

· Solid programming skills with Python (C++ is a plus)

· PhD with strong publications is a plus

Black Sesame Technologies Inc

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