Machine Learning Integration Engineer, Tesla AI

Tesla is building the future of AI systems that operate in the real world where safety, reliability, and performance are non-negotiable. As a Machine Learning Integration Engineer, you’ll be at the forefront of this mission, transforming cutting-edge AI research into deployable, safety-critical systems that power Tesla’s vehicles and humanoid robots. In this role, you will collaborate closely with vehicle hardware and firmware teams to design, evaluate, and ship multimodal AI-based solutions to improve vehicle systems, safety, and customer experience in challenging scenarios. Your work will ship to millions of vehicles and robots globally, repeatedly, reliably, and at scale. Join us in shaping the future of real-world AI.

Responsibilities

Leverage millions of miles of driving data and interventions to build robust and scalable end-to-end learning-based systems Combine multiple data sources, including video, audio, thermal, mechanical, weather, and other sensors to develop and train end-to-end models for control of all vehicle accessories required for autonomous operation Lead a machine learning vertical: define data strategies and labeling pipelines, design network architectures, train models, validate with real-world fleet data, and integrate within Tesla’s AI stack Integrate directly with vehicle firmware and ship production-quality, safety-critical software to the entirety of Tesla’s vehicle fleet Have an outsized impact by shipping your models to millions of Tesla vehicles worldwide

Requirements

Strong physics and mathematical fundamentals Proficiency in writing production-quality code in Python and experience with any major deep learning framework Proficiency in modern C++ to integrate with vehicle firmware and take projects from ideas to shipped products Experience designing, training, deploying, and evaluating models on an actual physical platform (e.g., robots, drone, etc.) An "under the hood" knowledge of deep learning modern architectures, optimization, quantization, and model alignment Ability to think “out-of-the-box” to push performance beyond apparent limitations Excellent problem-solving, critical thinking, and communication skills