What To Expect
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.
What You'll Do
Manage data annotation projects from ideation to planning, pilot, and production while diving into details, including annotating data yourselfCollaborate with neural network engineers to identify areas for improvement via dataDesign annotation ontology with engineers, considering implications for training neural networksPartner with the data annotation leadership team to set goals, forecast timelines, and ensure goals are met and communicate project progress, risks, and successes to stakeholdersDesign labeling interfaces, create and test core features, flag issues, and prioritize feature requestsLeverage the Tesla fleet to source diverse and plentiful data to annotateIdentify process inefficiencies and improve workflows with Autopilot leadership, program management, and engineering teams
What You'll Bring
2+ years of industry experience in product, program, or project managementDegree in Engineering or Analytics-heavy major or equivalent experienceUnderstanding of machine learning fundamentals (training vs. test set, overfitting, precision/recall, positive supervision, etc.) to design ontologyExcellent work ethic, communication, and collaboration skillsAbility to thrive in a constantly changing environment with high ambiguityPassion for the future of transportation and autonomous driving
Benefits
Compensation and Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction Family-building, fertility, adoption and surrogacy benefits Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA Healthcare and Dependent Care Flexible Spending Accounts (FSA) 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits Company paid Basic Life, AD&D, short-term and long-term disability insurance Employee Assistance Program Sick and Vacation time (Flex time for salary positions), and Paid Holidays Back-up childcare and parenting support resources Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance Weight Loss and Tobacco Cessation Programs Tesla Babies program Commuter benefits Employee discounts and perks program
Expected Compensation
$88,000 - $186,000/annual salary + cash and stock awards + benefits
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
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