About
Develop spatio-temporal machine learning models for multi-object tracking and uncertainty estimation Transition solutions from the lab to the test track and public roads to ensure successful production-level implementation Collaborate with perception experts on algorithm design, prototyping, testing, deployment, and productization
Required qualifications
Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics, or a related field with 4+ years of relevant experience, or a Master's degree with 2+ years of experience Experience in developing multi-object tracking systems using machine learning models Proven track record of developing and deploying deep learning solutions using PyTorch or similar frameworks Strong experience in computer vision, perception, and deep learning At least 4 years of development experience in a Python/C++ environment
Languages
- English
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