<p>As a member of the Vehicle Controls team, you will work closely with our Navigation Software team on advancing the capability of Tesla's in-house traffic prediction and routing algorithms that serve our customer cars today and will serve our future Robotaxis. You will apply a combination of basic physics modeling of the world, along with strong skillsets in statistical analysis, operations research, and machine learning to help improve our systems.</p> <p>Tesla vehicles collect many terabytes of data per day. You will work on problems spanning aggregating Tesla fleet data to improve our in-house traffic prediction models, improving accuracy of ETA provided by the navigation system, improving route quality, and more.</p> <ul> <li>Analysis of large-scale data and statistics from the Tesla fleet to inform traffic prediction and routing algorithms/features </li><li>Design, analysis, and prototype new algorithms and features to improve traffic prediction accuracy and customer experience </li><li>Collaborate with Tesla Navigation Software Engineers to implement, validate and deploy these algorithms at scale </li><li>Design and implement test plans, build pipelines and tools to ensure quality of trip planning algorithms deployed to our customers </li><li>Collaborate with Validation teams to ensure regression are prevented and rollouts are successful </li><li>Technical communication of analysis results?and tradeoffs to decision makers?and cross-functional teams </li><li>Degree in Statistics, Operations Research, Computer Science, Data Science, or equivalent in experience and evidence of exceptional ability </li><li>Fluency with exploratory statistical analysis and testing on large data sets </li><li>Strong evidence of ability to ground-up design, analyze, and implement a forecasting or optimization scheme for any real-world application </li><li>Strong evidence of ability to collaborate cross-functionally, work hands-on, and execute on open-ended projects in a fast-paced, resource-constrained environment </li><li>Experience with using machine learning techniques on prediction problems </li><li>Proficiency in Python and Golang, and experience with collaborative code development </li><li>Experience with some flavor of traffic and routing algorithms, preferred </li></ul>