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Principal Machine Learning Engineer

Develop algorithms to predict vehicle behavior and enhance safety in urban environments.
Foster City, California, United States
Expert
$296,000 - 451,000 USD / year
2 weeks ago
Zoox

Zoox

Developing autonomous mobility solutions with an aim to improve urban transportation.

✨ About The Role

- The Principal Machine Learning Engineer will lead the development of algorithms that predict vehicle behavior and driving trajectories. - This role involves close collaboration with teams in Perception, Simulation, and Safety Validation to enhance autonomous driving capabilities. - The engineer will be responsible for building foundational models for both on-vehicle and offline applications, pushing the boundaries of machine learning. - The position requires leveraging large-scale machine learning infrastructure to discover innovative solutions in the field. - The role may also involve leading exploratory projects that align with the company's long-term technical direction.

âš¡ Requirements

- The ideal candidate will have a strong background in machine learning and a deep understanding of algorithms related to behavior prediction and modeling. - A PhD or advanced degree in computer science or a related field is preferred, showcasing a commitment to academic excellence. - The candidate should possess extensive experience in training and deploying deep learning models, demonstrating practical application of theoretical knowledge. - Strong programming skills in C++ and Python are essential, with a focus on algorithm design and implementation. - The successful individual will have a proven track record of mentoring and guiding junior ML developers, fostering a collaborative team environment.
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Principal Machine Learning Engineer
Foster City, California, United States
$296,000 - 451,000 USD / year
Software
About Zoox
Developing autonomous mobility solutions with an aim to improve urban transportation.