Senior Data Scientist, Systems Performance
Core
Lead evaluation methodologies and metrics to validate the autonomy stack for fully driverless robotaxis, ensuring safety and performance for commercial launch.
Role type
Senior IC data scientist (autonomous vehicle evaluation)
Builds
Evaluation frameworks, metrics, and statistical analysis methods for AV autonomy stacks
Domain
Autonomous driving / Robotics / Automotive safety
Deliverable
production ML models | dashboards & analysis
Required skills
Python, SQL, advanced statistical analysis, hypothesis testing, causal analysis, data analysis, ML methods, large dataset handling
Preferred skills
Adversarial scenario generation, closed-loop simulation, autonomous driving sub-systems evaluation, data pipelines, distributed compute, Machine Learning, Deep Learning, sequence modeling, probabilistic ML, uncertainty quantification, automotive safety standards
Technologies
Python, SQL, AWS
Responsibilities
Lead development of evaluation frameworks connecting technical problems to data-driven validation; Collaborate with Functional Safety teams to map metrics to automotive safety standards; Monitor reliability of evaluation metrics and detect data drift; Drive performance analysis using statistical methods for simulation and on-road data; Develop new statistical analysis methods for AV performance data; Partner with operators to convert edge cases into simulation scenarios; Use fleet data to identify edge cases and coverage gaps; Establish correlation between on-road and simulation data; Interpret trends and investigate anomalies in data; Establish self-service models for developers to understand change impact.
Seniority
Senior, hands-on IC
