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Tesla Machine Learning Engineer Geometric Vision Self-Driving United States, California, Palo Alto 119546402
10.04.2025
What You’ll Do What You’ll Bring
- Develop and refine models for estimating geometric entities using both 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 various 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
- 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
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