Job Description

What to Expect

Tesla 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 Project Manager, you will run the "data engine," the process by which we improve neural networks via human-in-the-loop datasets by leveraging Tesla's fleet. You will take ownership of the datasets of specific Computer Vision models (ex. traffic lights) and make them large, high quality, and diverse. You will identify neural network challenge cases, work with engineers to formalize requirements and deliverables, mobilize the Data Annotation team to label/verify/audit data, and close the loop by driving improvements in models via data. You will manage the diversity of datasets (what scenarios should get annotated), the ontology (how data should be labeled), and program success by organizing project goals/milestones/risks. The Autopilot 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 Engine programs and associated projects from ideation to planning, pilot, and production
  • Collaborate with neural network engineers to triage areas where neural networks are challenged and should be improved via data
  • Write data queries to find more examples of issues or interesting, diverse, and plentiful data from our fleet to improve neural networks
  • Design annotation ontology with engineers, considering the implications for training neural networks
  • Partner with the data annotation leadership team to set goals, forecast timelines, and ensure goals are met
  • Design and define requirements for labeling interfaces by creating and testing core features, flagging issues, and prioritizing feature requests
  • Dive into the details including annotating data yourself
  • Communicate project progress, risks, and successes to stakeholders
  • Identify process inefficiencies and improve workflows with Autopilot Leadership, Program Management, and Engineering teams

What You’ll Bring

  • Two+ years of industry experience in product, program, or project management or engineering
  • BS in Computer Science, Physics, Computer Engineering, or Electrical Engineering or proof of exceptional skills in related fields or practical software engineering experience
  • Coursework in machine learning and a strong understanding of deep learning fundamentals (training vs. test set, overfitting, precision/recall, positive supervision, etc.) to design neural network ontology
  • Familiarity with Python and Pytorch is a plus
  • Excellent work ethic, communication, attention to detail, and collaboration skills.
  • Ability to thrive in a constantly changing environment with high ambiguity
  • Passion for the future of transportation and autonomous technologies

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)
  • LGBTQ+ care concierge services
  • 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

$68,000 - $252,000/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.

Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.

Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

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Job Overview
Job Posted:
11 months ago
Job Type
Full Time
Job Role
Master Degree
5+ Years
  • Founded In
    Feb 26, 2023
  • Company Size
    500+ Members
  • Website Learn More