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

Tesla Palo Alto , CA 94306

Posted 2 weeks ago

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.

  • 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.

  • 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.

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