2 months ago
Base Salary
$189k - $270k/yr
Responsibilities
- Develop deep learning models using imitation learning and reinforcement learning to generate driving plans for human-like agents.
- Develop techniques to estimate driving-plan quality across safety, progress, comfort, and realism.
- Contribute to large-scale machine learning infrastructure.
- Develop metrics and tools to analyze errors and measure system improvements.
- Collaborate with Perception, Planning, Simulation, and Validation engineers on autonomous driving.
Requirements
- PhD in computer science or a related field, or a master’s degree and 5+ years of professional experience in a relevant field.
- Experience with planning and/or prediction using reinforcement learning techniques.
- Experience training and deploying transformer-based model architectures.
- Experience with production machine learning pipelines, including dataset creation, training frameworks, and metrics pipelines.
- Fluency in Python and a basic understanding of C++.
- Top-tier publications such as NeurIPS, ICML, or CVPR are a bonus.
Benefits
- Paid time off, including sick leave, vacation, and bereavement leave.
- Unpaid time off.
- Zoox Stock Appreciation Rights and Amazon Restricted Stock Units.
- Health insurance, long-term care insurance, disability insurance, and life insurance.
Categories
About Zoox
Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.