Tesla is seeking an experienced Machine Learning Engineer to join their autonomous driving team, focusing on motion planning and self-driving technology. This role presents a unique opportunity to work at the forefront of autonomous vehicle technology with one of the world's most innovative automotive companies.
The position involves working with Tesla's extensive driving data to develop and implement sophisticated machine learning models for their self-driving systems. You'll be part of a lean team that has access to one of the world's largest training clusters, allowing you to make significant impacts that directly reach millions of Tesla customers.
As a Machine Learning Engineer, you'll be responsible for leveraging cutting-edge techniques in generative modeling, imitation learning, and reinforcement learning to enhance the planning and reasoning capabilities of Tesla's driving models. You'll work with massive datasets comprising millions of miles of driving data, and your solutions will be integrated directly into Tesla's vehicle firmware.
The ideal candidate should have strong expertise in Python and major deep learning frameworks, along with a deep understanding of modern ML architectures and optimization techniques. Experience with C++ is essential for firmware integration, and proven expertise in deploying production ML models for self-driving or robotics at scale is required.
Tesla offers an exceptional benefits package, including comprehensive healthcare with $0 payroll deduction options, 401(k) with employer match, stock purchase plans, and various family-support benefits. The compensation is highly competitive, ranging from $140,000 to $360,000 annually, plus additional cash and stock awards.
This role represents an extraordinary opportunity to work on revolutionary technology that is reshaping the automotive industry while being part of a team that values innovation, technical excellence, and direct impact. Your work will contribute to advancing Tesla's mission of accelerating the world's transition to sustainable energy through autonomous vehicle technology.