Autopilot applies deep learning for autonomous driving at scale. Past features we've launched include Navigate on Autopilot (making lane changes and taking highway exits), Smart Summon (calling the Tesla to you in a parking lot without anyone in the vehicle), Stopping for Stop Signs and Traffic Lights, Radar Removal, and more than a dozen active safety features. Currently, we are working to release the Full-Self-Driving feature on city streets. The team actively collects massive datasets from Tesla Vehicles, creates ground truth of labeled images and videos, and deploys deep neural networks to our fleet of more than a million Tesla cars. As a Technical Project Manager, you will run the "data engine," the process by which we improve neural networks via data annotation by leveraging Tesla's fleet. You will take ownership of the datasets of specific vision models (ex. stop signs) and make them large, high quality, and diverse. You will identify areas where neural networks are challenged (ex. even blue stop signs), work with engineers to formalize requirements and deliverables for the data annotation team, and close the loop by driving improvements in models via data. You will manage the variety of datasets (what should get annotated), the ontology (how data should be labeled), and project success by organizing the project goals/milestones/risks. The data engine is the most crucial aspect of "pre-neural-network" development and has unlocked every major Autopilot customer release. * Manage data annotation projects from ideation to planning, pilot, and production while diving into details, including annotating data yourself * Collaborate with neural network engineers to identify areas for improvement via data * Design annotation ontology with engineers, considering implications for training neural networks * Partner with the data annotation leadership team to set goals, forecast timelines, and ensure goals are met and communicate project progress, risks, and successes to stakeholders * Design labeling interfaces, create and test core features, flag issues, and prioritize feature requests * Leverage the Tesla fleet to source diverse and plentiful data to annotate * Identify process inefficiencies and improve workflows with Autopilot leadership, program management, and engineering teams * 2+ years of industry experience in product, program, or project management * Degree in Engineering or Analytics-heavy major or equivalent experience * Understanding of machine learning fundamentals (training vs. test set, overfitting, precision/recall, positive supervision, etc.) to design ontology * Excellent work ethic, communication, and collaboration skills * Ability to thrive in a constantly changing environment with high ambiguity * Passion for the future of transportation and autonomous driving