Master Thesis focusing on developing machine learning models for lithium - ion cell sorting at Fraunhofer LBF. Involvement in innovative projects addressing circular economy in battery recycling.
ZO
Hybrid Senior Machine Learning Engineer – Simulation Scenario Generation
Posted 4 months ago
About the role
- ML Engineer in Simulation Scenario Generation team applying machine learning for autonomous vehicle testing. Delivering immediate user impact while contributing to long-term AI-driven safety validation.
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.
Requirements
- MS or PhD in Computer Science, Machine Learning, or related field
- 5+ years of industry experience in Machine Learning
- Proficiency in Python and ML libraries (PyTorch, JAX, NumPy, etc.) demonstrated through professional or research projects
- Demonstrated experience in 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
Benefits
- paid time off (e.g. sick leave, vacation, bereavement)
- unpaid time off
- Zoox Stock Appreciation Rights
- Amazon RSUs
- health insurance
- long-term care insurance
- long-term and short-term disability insurance
- life insurance
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