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Machine Learning Engineer, Geometric Vision, Self-Driving

2 months ago

Palo Alto, United States Tesla Full time
What to ExpectJoin 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.What You’ll Do
  • 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
What You’ll Bring
  • 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