Machine Learning Intern, 3D Computer Vision – Autopilot, AI

Key Skills

AI Robotic systems, Computer Vision (CV), CUDA/GPU programming, Deep Learning, Machine learning techniques, OpenCV, PyTorch, TensorFlow

Job Description

What to Expect

As a Machine Learning Intern with the Autopilot AI 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 tasks.
• Perform 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 autonomy.
• Deploy models at scale to millions of Tesla cars in the real world.
• Strict adherence to strong software engineering practices to develop novel work quickly and safely.

What You’ll Bring

• Strong experience writing production-level Python and software engineering best practices.
• Solid mathematical fundamentals including linear algebra, vector calculus, probability theory, and numeric optimization.
• An “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 motion.
• Familiarity with basic computer vision concepts such as intrinsic and extrinsic calibrations, homogeneous coordinates, projection matrices, and epipolar geometry.
• Experience with PyTorch, or at least another major deep learning framework such as TensorFlow.
• Experience in GPU programming (e.g., CUDA, OpenCL, OpenGL) or GPU-accelerated libraries.
• Comfortable working in a shared cluster environment.

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:

• 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

• $100000.00 - $150000.00 + 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.

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