Senior Machine Learning Engineer (ML Agents and Planning)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior Machine Learning Engineer (ML Agents and Planning): Develop foundation models and novel machine learning pipelines for ML agents and planning in autonomous driving with an accent on imitation learning, reinforcement learning, and transformer-based architectures. Focus on designing driving plans, estimating plan quality, and collaborating across perception, planning, simulation, and validation teams.
Location: Foster City, CA, United States (Hybrid)
Salary: $242,000 - $290,000 per year (base salary only)
Company
Zoox is a product company specializing in autonomous driving software and AI technologies.
What you will do
- Develop deep learning models using imitation and reinforcement learning to generate driving plans for human-like agents.
- Work on techniques to estimate driving plan quality across safety, progress, comfort, and realism.
- Contribute to large-scale machine learning infrastructure to discover new solutions and advance the field.
- Develop metrics and tools to analyze errors and system improvements.
- Collaborate with Perception, Planning, Simulation, and Validation engineers to solve autonomous driving challenges.
Requirements
- Location: Must be based in or able to work in the United States (Foster City, CA)
- PhD in computer science or related field with 1+ year experience, or MSc with 5+ years experience.
- Experience in planning and/or prediction using reinforcement learning techniques.
- Experience with training and deploying transformer-based models.
- Experience with production ML pipelines including dataset creation, training frameworks, and metrics.
- Fluency in Python and basic understanding of C++.
Nice to have
- Top tier publications (NeurIPS, ICML, CVPR).
Culture & Benefits
- Comprehensive benefits including paid time off, health insurance, long-term care, disability, and life insurance.
- Stock options including Amazon RSUs and Zoox Stock Appreciation Rights.
- Supportive hybrid work environment based in Foster City, CA.
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