Leverage millions of miles of driving data and interventions to build a robust and scalable end-to-end learning based self-driving system
Use cutting-edge techniques from generative modeling, imitation learning, and reinforcement learning to improve the planning and reasoning capabilities of our driving models
Experiment with data generation and fleet data collection approaches to enhance the diversity and quality of training data
Integrate directly with vehichle firmware and ship production quality, safety-critical software to the entirety of Tesla's vehicle fleet
What You’ll Bring
Strong experience with Python. any major deep learning framework, and software engineering best practices
An "under the hood" knowledge of deep learning modern architectures, optimization, model alignment, etc.
Proven expertise in deploying production ML models for self-driving, robotics, or natural language processing at scale
Comfort with C++ to help integrste with vehicle firmware and take projects from ideas to shipped products