Senior Machine Learning Engineer - Simulation Scenario Generation
Zoox · Foster City, CA · 1 mo ago
HybridEngineering$233k–$290k/yrFull-time
About the role
The Simulation Scenario Generation team is seeking a ML Engineer to develop scalable AV scenario creation workflows. This role involves enabling AI-based scenario understanding and validation, synthesizing realistic AV simulation scenarios, integrating and validating LLMs/VLMs, and implementing other models for complex scenario generation workflows.
Responsibilities
- Contribute to tooling for AI-based scenario understanding and validation.
- Synthesize realistic AV simulation scenarios with dynamic (e.g., traffic) and static features.
- Integrate and validate LLMs/VLMs and implement other models for complex scenario generation workflows, leveraging techniques like agentic tool use.
- Collaborate directly with internal customers and partner teams to provide generative AI solutions for their test creation workflows.
- Directly contribute to the safety and reliability of Zoox's autonomous software.
Qualifications
- MS or PhD in Computer Science, Machine Learning, or related field
- 5+ years of industry experience in Machine Learning
- Demonstrated proficiency in Python and ML libraries (PyTorch, JAX, NumPy, etc.) through professional or research projects
- Experience with transformer and diffusion architectures
- Practical experience in dataset creation for fine-tuning, system integration of ML models into production, or optimization techniques for low-latency inference systems
Bonus Qualifications
- Familiarity with autonomous vehicles, robotics, and/or complex simulation environments
- Hands-on experience in areas like program synthesis and/or formal methods/V&V
- Relevant publications in conferences (e.g., CVPR, ICCV, RSS, and/or ICRA)
Pay
$233,000 - $290,000 a year Base Salary Range
Schedule
Not specified
Benefits
Comprehensive benefits package including paid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.