ML Engineer: Autonomous Scenario Generation & AI Tools

Zoox; Foster City (CA); On-site; USD 151,000 - 257,000; Full time

Benefits offered by this job

Health insurance

Paid time off

Zoox Stock Appreciation Rights

Amazon RSUs

Job summary

A pioneering autonomous vehicle company in California is seeking a hands-on ML Engineer to optimize AV scenario generation workflows. The ideal candidate will have an MS or PhD in a related field and at least 2 years of industry experience in machine learning, specifically in LLM/NLP concepts. The role requires proficiency in Python and ML libraries like PyTorch and NumPy, contributing to AI-driven safety validation of autonomous software. This position offers a competitive salary and a comprehensive benefits package.

Qualifications

• 2+ years of industry experience in Machine Learning.
• Solid understanding of LLM or NLP concepts.
• Practical experience in dataset creation for fine-tuning.

Responsibilities

• Integrate and validate LLMs/VLMs for complex scenario generation workflows.
• Contribute to tooling for AI-based scenario understanding and validation.
• Collaborate with internal customers to provide generative AI solutions.

Skills

Machine Learning

Natural Language Processing (NLP)

Python

AI-based scenario understanding

Education

MS or PhD in Computer Science, Machine Learning, or related field

Tools

PyTorch

NumPy

Job description

A pioneering autonomous vehicle company in California is seeking a hands-on ML Engineer to optimize AV scenario generation workflows. The ideal candidate will have an MS or PhD in a related field and at least 2 years of industry experience in machine learning, specifically in LLM/NLP concepts. The role requires proficiency in Python and ML libraries like PyTorch and NumPy, contributing to AI-driven safety validation of autonomous software. This position offers a competitive salary and a comprehensive benefits package.