Research Engineer, Reinforcement Learning & Imitation Learning, Self-Driving
: Job Details :


Research Engineer, Reinforcement Learning & Imitation Learning, Self-Driving

Tesla Motors

Location: Palo Alto,CA, USA

Date: 2024-09-26T05:44:28Z

Job Description:
Research Engineer, Reinforcement Learning & Imitation Learning, Self-DrivingJob CategoryAI & RoboticsLocationPalo Alto, CaliforniaReq. ID221945Job TypeFull-timeTesla participates in the E-Verify ProgramWhat to ExpectTesla is looking for strong Machine Learning Engineers to help build foundation models for robotics to drive the future of autonomy across all current and future generations of vehicles. You will work on a lean team without boundaries and have access to one of the world's largest training clusters. Most importantly, you will see your work repeatedly shipped to and utilized by millions of Tesla's customers.What You'll DoLeverage millions of miles of driving data and interventions to build a robust and scalable end-to-end learning based self-driving systemResearch on cutting-edge techniques in multi-modal generative models, reward models and reinforcement learning to improve the planning and reasoning capabilities of our driving models Experiment with data generation and network driven data collection approaches to enhance the diversity and quality of training data Ship production quality, safety-critical software to the entirety of Tesla's vehicle fleetWhat You'll BringStrong experience with Python and software engineering best practices Experience with Pytorch or another major deep learning framework An “under the hood” knowledge of deep learning: layer details, loss functions, optimization, etc.Proven expertise in deploying production ML models for self-driving, computer vision, or natural language processing at scaleExperience with imitation learning, reinforcement learning (offline/off-policy), modern neural network architectures (e.g., GPT, diffusion), or related techniquesCompensation and BenefitsBenefits 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 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 programExpected Compensation $116,000 - $360,000/annual salary + cash and stock awards + benefitsPay 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.For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Please contact ...@tesla.com for additional information or to request accommodations.Privacy is a top priority for Tesla. We build it into our products and view it as an essential part of our business. To understand more about the data we collect and process as part of your application, please view our Tesla Talent Privacy Notice
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