Machine Learning Engineer, 3D Computer Vision, Self-Driving

As a Machine Learning Engineer in the Self-Driving team at Tesla, you will be at the forefront of developing cutting-edge computer vision and machine learning models for autonomous driving systems. Your role will involve designing, training, and deploying models at an unprecedented scale, utilizing Tesla's vast compute and data generation capabilities.

Key responsibilities include:

• Developing novel formulations and architectures for various computer vision tasks
• Performing large-scale distributed training of deep neural networks
• Designing metrics, tasks, and datasets for perception and autonomy
• Deploying models to millions of Tesla cars in the real world
• Adhering to strong software engineering practices

The ideal candidate will bring:

• Strong production-level Python skills and software engineering best practices
• Solid mathematical fundamentals in linear algebra, vector calculus, probability theory, and numeric optimization
• Deep understanding of modern deep learning techniques and architectures
• Domain expertise in areas such as object detection, pose estimation, depth estimation, or 3D reconstruction
• Familiarity with computer vision concepts and GPU programming
• Experience with PyTorch or other major deep learning frameworks

This role offers the opportunity to work on real-world applications of AI and contribute to the advancement of self-driving technology. You'll be part of a team pushing the boundaries of what's possible in autonomous driving, with the potential to impact millions of vehicles on the road.

Tesla offers competitive compensation and a comprehensive benefits package, including medical, dental, and vision plans, 401(k) with employer match, stock options, and various other perks. Join Tesla to be at the forefront of AI and robotics innovation in the automotive industry.