Machine Learning Engineer - Destination & Special Behaviors, Self-Driving

Job Description

Job Responsibilities

• Work on developing novel techniques for robustly handling start and end of trip Robotaxi behaviors in a rapidly scalable way
• 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
• Work cross-functionally across ground truth generation, ML model training, and on-vehicle deployment 
• Experiment with data generation and fleet data collection approaches to enhance the diversity and quality of training data
• Integrate directly with vehicle firmware and ship production quality, safety-critical software to the entirety of Tesla's vehicle fleet

Job Requirements

• 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 and robotics at scale
• Any experience with C++ would help integrate with vehicle firmware and take projects from ideas to shipped products