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Principal Machine Learning Engineer - Perception
Develop algorithms for real-time scene understanding and prediction in complex urban environments.
Remote
Expert
$296,000 - 451,000 USD / year
3 weeks ago
Zoox
Developing autonomous mobility solutions with an aim to improve urban transportation.
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✨ About The Role
- The Principal Machine Learning Engineer will lead the development of algorithms for scene understanding and prediction in dynamic environments.
- Responsibilities include building multi-modal foundation models for both on-vehicle and offline applications.
- The role involves applying generative AI techniques to enhance simulation realism for validation systems.
- The engineer will leverage large-scale machine learning infrastructure to explore innovative solutions in the field.
- Collaboration with teams focused on prediction, planning, and simulation is crucial to solve the overall autonomous driving challenges.
âš¡ Requirements
- The ideal candidate will have a strong background in machine learning and computer vision, with extensive experience in developing and deploying deep learning models.
- A proven track record of working with sensor data, particularly in the context of autonomous systems, is essential for success in this role.
- The candidate should possess strong mathematical skills and a deep understanding of probabilistic techniques.
- Experience in mentoring and guiding other machine learning developers will be beneficial, as this role involves providing technical mentorship.
- The successful candidate will be collaborative, working closely with cross-functional teams to address complex problems in autonomous driving.
Principal Machine Learning Engineer - Perception
Remote
$296,000 - 451,000 USD / year
Software
About Zoox
Developing autonomous mobility solutions with an aim to improve urban transportation.