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Technical Project Manager, Data Labeling

TESLA, INC

DRAPER, UT

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JOB DETAILS
SKILLS
Autonomous Driving Systems, Data Management, Data Modeling, Data Sets, Deep Learning, Diving, Establish Priorities, Forecasting, Health Plan, Leadership, Machine Learning, Network Architecture/Engineering, Neural Networks, Ontology, Orthodontics, Payroll Tax, Process Development, Process Improvement, Product Programs, Project/Program Management, Set Goals, Team Player, Technical Leadership, Test Plan/Schedule, Training Data Sets, Vehicle Fleets, Vision Plan
LOCATION
DRAPER, UT
POSTED
30+ days ago
What to Expect
 
Full Self-Driving applies deep learning for autonomous driving at scale. Past features we've launched include 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 FSD customer release.
What You'll Do
 
* 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
What You'll Bring
 
* 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
Compensation and Benefits
Benefits
 
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
*  Medical plans > 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 Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
*  Healthcare and Dependent Care Flexible Spending Accounts (FSA)
*  401(k) with employer match, Employee Stock Purchase... For full info follow application link.
 
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 orient
ation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.

About the Company

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TESLA, INC