✨ 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
âš¡ 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