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Software Engineer - Prediction & Behavior ML

Build data-driven models to predict the behavior of vehicles, pedestrians, and cyclists in urban environments.
San Francisco Bay Area
Senior
$144,000 - 234,000 USD / year
3 weeks ago
Zoox

Zoox

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

✨ About The Role

- The role involves building novel architectures for classifying and understanding dynamic urban environments using high-quality sensor data - The Prediction team focuses on providing a probabilistic representation of the future state of the world, particularly predicting the actions of other vehicles, pedestrians, and cyclists - The position requires leveraging sensor data and semantic information to create data-driven models integrated into planning software for a safe and smooth customer experience - Responsibilities include dataset creation, labeling, training, and validation of ML models, as well as contributing to the development of autonomous mobility solutions - The job offers a competitive compensation package including salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights, along with comprehensive benefits and a fast-paced, execution-oriented work environment

⚡ Requirements

- Experienced software engineer with a background in computer science or a related field, specializing in prediction and behavior ML - Proficient in C/C++ and experienced in production ML pipelines, computer vision, and machine learning techniques - Skilled in training and deploying Deep Learning models, with a strong understanding of programming and algorithm design - Ability to create functional real-time systems for solving complex prediction tasks and handling large datasets efficiently - Strong mathematical skills and familiarity with probabilistic techniques, along with experience in designing large-scale scalable software architectures
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Software Engineer - Prediction & Behavior ML
San Francisco Bay Area
$144,000 - 234,000 USD / year
Software
About Zoox
Developing autonomous mobility solutions with an aim to improve urban transportation.