Senior Machine Learning Engineer at Bumble developing scalable AI systems for personalized user interactions. Leading machine learning model development and deployment from exploration to production.
ZO
Hybrid Senior Machine Learning Engineer – Simulation Scenario Generation
Posted 3 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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