Machine Learning Engineer, Metrics, Self-Driving

The AI Evaluation team is the main line of defense in ensuring customer safety. Working alongside our AI team, you will design metrics that utilize fleet data and run on large inference clusters to help drive key decisions about end-to-end model architecture, data integrity, and exported model performance. Your work will directly impact FSD v13+ customers. A strong candidate will have a computer science, ML or robotics engineering background, strong attention to detail, self-driven attitude, and passion to make an impact. What You'll Do Design metrics to evaluate model predictions and vehicle motion across every scenario human drivers will ever encounter Create vector space visualizations to help analyze real-time data values for model prediction and perception Work with AI researchers to evaluate & compare end-to-end FSD models Drive projects from inception to completion and present projects to org leadership What You'll Bring Bachelor's Degree in Computer Science, Physics or Robotics Engineering, or proof of exceptional skills in related field Strong Python coding abilities Exposure to utilizing NumPy and Pandas for data manipulation Experience with computer vision systems, ADAS features, path-planning, real-time embedded systems, sensor calibration, C++ and/or CAN is a plus