almost 2 years ago
Base Salary
$296k - $451k/yr
Responsibilities
- Develop algorithms for scene understanding and modeling how scenes evolve over time
- Build multimodal foundation models for on-vehicle and offline applications
- Develop generative AI algorithms for more realistic offline simulation and validation
- Use large-scale machine learning infrastructure to discover new solutions
- Provide technical mentorship to ML developers
- Collaborate with Prediction, Planning, and Simulation engineers on autonomous driving
Requirements
- BS, MS, or PhD in computer science or a related field
- Experience training and deploying deep learning models on sensor data
- Experience with production machine learning pipelines, including dataset creation, training frameworks, and metrics pipelines
- Experience with modern computer vision techniques
- Strong mathematical skills and understanding of probabilistic techniques
- Fluency in C++ or fluency in Python with a basic understanding of C++
- Extensive programming and algorithm-design experience
Benefits
- Paid time off including sick leave, vacation, and bereavement leave
- Unpaid time off
- Zoox Stock Appreciation Rights and Amazon Restricted Stock Units
- Health, long-term care, disability, and life insurance
Categories
ML EngineeringRobotics
About Zoox
Zoox builds a fully autonomous, purpose-built electric vehicle and the end-to-end platform to operate it as an urban robotaxi service. The company designs the vehicle, self-driving software, and fleet operations in-house to offer mobility-as-a-service rather than selling cars. Founded in 2014 and headquartered in Foster City, California, Zoox is a subsidiary of Amazon.