Job Description

As a Principal ML Engineer on the Scenario Technology and Coverage team, you'll lead the design and implementation of scalable ML-based tools that enhance our scenario pipeline—from data mining and scenario generation to simulation-based evaluation. Your work will be critical in ensuring that our driving models are thoroughly tested and optimized across diverse and realistic conditions.

Responsibilities

• Lead development of ML models and augmentation techniques
• Architect scalable systems for data mining and scenario generation
• Collaborate with cross-functional teams
• Drive innovation in scenario coverage
• Own end-to-end technical solutions
• Identify and address infrastructure gaps
• Guide the team in technical challenges
• Mentor engineers

Requirements

• M.S. or Ph.D. in Computer Science, Machine Learning, or related fields with 10+ years of industry experience
• Proven experience in building, deploying, and scaling production-level ML solutions
• Deep understanding of ML fundamentals
• Proficiency in Python
• Experience leading and executing large-scale, cross-functional projects
• 7+ years of experience in ML engineering and 4+ years in production deployments
• Hands-on experience with data pipelines, SQL, and managing large-scale databases

Benefits

• No benefits