Requirements

• Strong analytical and investigative skills
• Hands-on experience with ML evaluation data and driving performance metrics
• Proficiency in Python or SQL
• Ability to operate autonomously in a fast-paced environment
• Clear written communication skills
• Genuine curiosity about model behavior

Nice to Haves

• Experience in autonomous driving, robotics, or safety-critical ML systems
• Knowledge of simulation-based testing and statistical methods
• Experience working across different teams in defining objectives
• Exposure to OEM or partner validation workflows
• Experience in improving evaluation infrastructure

What You'll Be Doing

• Shape how to learn from evaluation data and build necessary tooling
• Improve measurement of driving performance and evaluation methods
• Analyze on-road testing data and apply statistical rigor
• Expand the definition of model quality beyond intervention rates
• Collaborate with Data Science and Validation teams
• Support partner-facing quality investigations
• Turn investigations into actionable improvements

Perks and Benefits

• Hybrid working policy combining office and remote work
• Commitment to creating an inclusive interview experience
• Diverse and respectful culture