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Responsible for developing and deploying image, lidar and radar-based perception for our self-driving vehicles. Research and develop neural networks for perception and prediction problems such as object detection, instance segmentation, classification, future motion prediction, sensor fusion, traffic light detection, and more. Develop clean software for the perception modules that sit at the core of our autonomous vehicle perception and interface with all other key modules such as localization, mapping, and planning. Develop core deep learning codebase for efficient training and testing pipelines. Conduct deep learning experiments, write reports, and file patents.
The position is at a fixed location based in the Venice office; however, telecommuting from a home office may also be allowed 100% of the time.

40 hours/week, 9:00am-5:00pm

One (1) year of experience designing perception Algorithms for self-driving vehicles.

Must have one (1) year of experience in the following (experience may be gained concurrently):
- Designing, Training, and Analyzing neural networks for at least one of the following applications: object detection, image segmentation, sensor fusion, multitask learning, traffic light detection, active learning, or one-shot learning.
- Utilizing common machine learning and deep learning algorithms
- Python
- Pytorch or TensorFlow
- C++ or Cuda programming

Masters degree in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a directly related field

Please copy and paste your resume in the email body do not send attachments, we cannot open them and email them at candidates at (link removed) with reference #2703353 in the subject line.