Machine Learning Engineer, 3D Computer Vision, Self-Driving

Machine Learning Engineer, 3D Computer Vision, Self-Driving
Company:

Tesla, Inc.


Details of the offer

Machine Learning Engineer, 3D Computer Vision, Self-DrivingAs a member of the Self-Driving team, you will design, train, and deploy machine learning models for perception and automated data annotation at an unprecedented scale for autonomy systems. You will utilize Tesla's enormous compute and data generation capabilities to push the state of the art in real world applications.
What You'll Do Develop novel formulations and architectures for a wide variety of computer vision tasksPerform large-scale distributed training of deep neural networks to build a unified and consistent vector space for autonomous driving tasks (e.g., occupancy, occupancy flow, semantics, geometry, detection, drivable surface)Design metrics, tasks, and datasets that aid in perception and autonomyDeploy models at scale to millions of Tesla cars in the real worldStrict adherence to strong software engineering practices to develop novel work quickly and safelyWhat You'll Bring Strong experience writing production-level Python and software engineering best practicesSolid mathematical fundamentals including linear algebra, vector calculus, probability theory, and numeric optimizationAn "under the hood" knowledge of deep learning: layer details, loss functions, optimization, etc.Understanding of modern deep learning techniques (CNNs, transformers, autoregressive models, etc.)Domain expertise in at least one of these areas: object detection & tracking, pose estimation, depth estimation, semantic & instance segmentation, video models, differentiable rendering, Neural Radiance Field (NeRF), 3D reconstruction, visual SLAM, structure from motionFamiliarity with basic computer vision concepts such as intrinsic and extrinsic calibrations, homogeneous coordinates, projection matrices, and epipolar geometryExperience with PyTorch, or at least another major deep learning framework such as TensorFlowExperience in GPU programming (e.g., CUDA, OpenCL, OpenGL) or GPU-accelerated librariesComfortable working in a shared cluster environmentCompensation 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 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 $140,000 - $360,000/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.
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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Source: Jobleads

Requirements

Machine Learning Engineer, 3D Computer Vision, Self-Driving
Company:

Tesla, Inc.


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