Job Summary:
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 transform cutting-edge AI research into deployable, safety-critical systems that power Tesla’s vehicles and humanoid robots, collaborating closely with hardware and firmware teams to improve vehicle systems and customer experience.
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
Qualifications:
Required:
• 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
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.