- Driving feature on city streets to the wider customer fleet.
Data Project Manager, Autopilot - Draper, United States - Tesla
Description
The RoleTesla 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-SelfAs Data Project Manager, you will run the 'data engine,' the process by which we improve neural networks via data annotation and 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 understand the requirements of neural networks, and set deliverables for the data annotation team.You will manage the variety of datasets (what should get annotated), the ontology (how data should be labeled), and close the loop on the project's impact on reducing Autopilot interventions and improving in-car performance (why data is labeled).
The data engine is the most crucial aspect of 'pre-neural-network' development and has unlocked every major Autopilot customer release.ResponsibilitiesManage projects through ideation, development, pilot, production, iteration as the model is trained on more and more data, and completion (ie. model is released to customers)
Collaborate with neural network engineers to triage scenarios where neural networks are challenged and determine which scenarios should be improved via data (as opposed to architecture changes)Leverage the Tesla fleet to source interesting (where the current model struggles), diverse and high-volume scenarios for the annotation team Design annotation ontology with engineers, considering the implications for training neural networksPartner with the data annotation leadership team to set goals, create projections, and ensure data goals are met Design labeling interfaces for your projects by defining and prioritizing feature requestsDive into the details including annotating data yourself and testing out new features in labeling interfacesClose the loop with engineering by ensuring neural network training jobs are picking up the latest available dataCreate evaluation suites so that we have the necessary suites to measure the impact of new data on neural network performanceRequirementsTwo+ years of industry experience in product, program or project managementBachelor's Degree in Computer Science or Analytics heavy major, or equivalentUnderstanding of machine learning fundamentals (training vs.
Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deductionFamily-building, fertility, adoption and surrogacy benefitsDental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contributionCompany Paid (Health Savings Account)
HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSAHealthcare and Dependent Care Flexible Spending Accounts (FSA)LGBTQ+ care concierge services401(k) with employer match, Employee Stock Purchase Plans, and other financial benefitsCompany paid Basic Life, AD&D, short-term and long-term disability insuranceEmployee Assistance ProgramSick and Vacation time (Flex time for salary positions), and Paid HolidaysBack-up childcare and parenting support resourcesVoluntary benefits to include:
critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insuranceWeight Loss and Tobacco Cessation ProgramsTesla Babies programCommuter benefitsEmployee discounts and perks program#J-18808-Ljbffr