Machine Learning Engineer, Geometric Vision, Self-Driving

$140,000 - $360,000/Yr

Tesla - Palo Alto, CA

Full-time - Entry Level

Palo Alto, CA

Transportation Equipment Manufacturing

About the position

Join our Self-Driving team to help shape one of the most advanced and widely-deployed computer vision systems in the world. As a key contributor, you will drive innovation in geometric vision, tackling challenges related to both the vehicle dynamics and environmental perception. This role involves developing and refining models for estimating geometric entities using both modern neural network-based and classical vision techniques. You will leverage vast amounts of fleet data for algorithm development and validation, design and develop automated data generation pipelines that create various high-quality ground truth data for real-world perception problems, and deploy and scale your work across millions of autonomous vehicles worldwide. Collaboration is key, as you will work closely with a high-caliber team dedicated to realizing full autonomy.

Responsibilities

• Develop and refine models for estimating geometric entities using modern neural network-based and classical vision techniques.
• Leverage vast amounts of fleet data for algorithm development and validation.
• Design and develop automated data generation pipelines that create high-quality ground truth data for real-world perception problems.
• Deploy and scale your work across millions of autonomous vehicles worldwide.
• Collaborate closely with a high-caliber team dedicated to realizing full autonomy.

Requirements

• Proven ability to rapidly prototype and optimize algorithms.
• Proficiency in writing production-quality code in Python.
• Proficiency in C++ is highly desirable.
• Solid understanding of linear algebra, geometry, probabilistic theory, numerical optimization, and deep learning, with hands-on implementation experience.
• Expertise in key areas of computer vision and robotics, such as structure-from-motion, Visual-Inertial SLAM, large-scale mapping and localization, dense 3D modeling, or neural rendering (e.g., NeRF, Gaussian Splatting).
• Practical experience with PyTorch.
• Familiarity with deploying neural network models is an advantage.

Benefits

• Aetna PPO and HSA plans with 2 medical plan options and $0 payroll deduction.
• Family-building, fertility, adoption and surrogacy benefits.
• Dental (including orthodontic coverage) and vision plans with options for $0 paycheck contribution.
• Company Paid 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 including 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.