# Machine Learning Engineer, Simulation Scenario Generation

**Company:** [Zoox](https://hotfix.jobs/companies/zoox)
**Location:** Foster City, CA
**Role:** ML Engineering
**Salary:** $151k – $257k/yr
**Experience:** 2+ years
**Skills:** LLMs, Vlms, PyTorch, NumPy, Python, NLP, Fine-Tuning, Diffusion Models, Program Synthesis, Low-Latency Inference
**Posted:** 2025-09-29

> Develops ML models and workflows for generating simulation scenarios in autonomous vehicle testing, integrating LLMs/VLMs, collecting data for fine-tuning, and collaborating with teams to enhance safety validation. Requires MS/PhD, 2+ years ML experience, and Python/PyTorch proficiency.

## Job Description

## Responsibilities
- Integrate and validate LLMs/VLMs and implement other models for complex scenario generation workflows, leveraging techniques like advanced prompting, agentic tool use, and more.
- Contribute to tooling for AI-based scenario understanding and validation.
- Collect data and design metrics to drive business intelligence, product iteration, and model fine-tuning.
- 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 autonomous software.

## Qualifications
- MS or PhD in Computer Science, Machine Learning, or related field
- 2+ years of industry experience in Machine Learning
- Solid understanding of LLM or NLP concepts
- Proficiency in Python and ML libraries (PyTorch, NumPy) demonstrated through professional or research projects

## Bonus Qualifications
- Practical experience in dataset creation for fine-tuning, system integration of ML models into production, or optimization techniques for low-latency inference systems
- Familiarity with autonomous vehicles, robotics, and/or complex simulation environments
- Hands-on experience in areas like program synthesis, diffusion models, and/or formal methods/V&V
- Relevant publications in conferences (e.g., CVPR, ICCV, RSS, and/or ICRA)

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