Tesla is at the forefront of robotics innovation, developing humanoid bi-pedal robots (Tesla Bot) to revolutionize manufacturing and logistics automation. As a Sr. Machine Learning Engineer on the Navigation team, you'll be working on cutting-edge deep learning solutions for the Tesla Bot project.
The role presents a unique opportunity to work on state-of-the-art neural network algorithms, taking them from research through to real-world deployment. You'll be part of a team that owns the entire deep learning stack, from inception to production implementation.
Your work will directly impact the development of visual recognition and perception systems, focusing on crucial tasks such as segmentation, detection, and world representation applications. You'll be working with advanced technologies including convolutional neural networks, multi-task learning, large-scale distributed training, and multi-sensor fusion.
The position offers competitive compensation ranging from $140,000 to $360,000 annually, plus additional cash and stock awards. Tesla provides comprehensive benefits including premium healthcare with zero payroll deductions, 401(k) matching, stock purchase plans, and various family-support benefits.
This is an ideal role for an experienced machine learning engineer who is passionate about robotics and wants to be at the cutting edge of AI development. You'll need strong expertise in Python and C++, experience with deep learning frameworks, and a proven track record of deploying real-world neural networks. Your work will directly contribute to Tesla's mission of advancing sustainable automation through innovative robotics solutions.
The role is based in the San Francisco Bay Area, offering you the chance to work alongside some of the industry's brightest minds in AI and robotics. Join Tesla to be part of a team that's pushing the boundaries of what's possible in robotics and artificial intelligence.