Machine Learning Engineer, Destination & Special Behaviors, Self-Driving Join to apply for the Machine Learning Engineer, Destination & Special Behaviors, Self-Driving role at Tesla . Overview Tesla is seeking experienced applied Machine Learning Engineers to develop models that enhance robotics and autonomous driving technology across all vehicle generations. You will work with a dedicated team, utilizing extensive training resources, and see your work directly impact millions of Tesla customers. Responsibilities Develop novel techniques for managing start and end of trip behaviors in Robotaxi services. Utilize vast driving data to build scalable, robust self-driving systems. Apply advanced methods like generative modeling, imitation learning, and reinforcement learning to improve driving models. Collaborate across teams on data generation, model training, and deployment. Innovate data collection and generation to improve training datasets. Integrate software with vehicle firmware, ensuring safety and production quality for Tesla's fleet. Qualifications Proficiency in Python and deep learning frameworks, with strong software engineering skills. Deep understanding of modern deep learning architectures and optimization. Experience deploying ML models in production for autonomous systems. Knowledge of C++ for integration with vehicle firmware is a plus. Benefits Competitive salary, full benefits from day one, including health plans, family benefits, stock options, insurance, and various employee programs. Expected compensation ranges from $140,000 to $420,000 annually, with additional stock and cash awards. Additional Details Seniority Level: Entry level Employment Type: Full-time Job Function: Engineering and IT Industries: Automotive, Renewable Energy, Semiconductor, Utilities #J-18808-Ljbffr Tesla
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