As a Machine Learning Integration Engineer at Tesla, you will play a crucial role in transforming AI research into deployable systems that enhance vehicle safety and performance. You will work closely with hardware and firmware teams to develop multimodal AI solutions that improve customer experience. Your contributions will directly impact millions of vehicles and robots globally, ensuring reliability and scalability in real-world applications. This position offers the opportunity to lead machine learning initiatives and integrate cutting-edge technology into Tesla's AI stack.

• Strong physics and mathematical fundamentals are essential.
• Proficiency in writing production-quality code in Python is required.
• Experience with any major deep learning framework is necessary.
• Proficiency in modern C++ is needed to integrate with vehicle firmware.
• Experience designing, training, deploying, and evaluating models on physical platforms is required.
• Knowledge of deep learning architectures, optimization, quantization, and model alignment is important.
• Excellent problem-solving, critical thinking, and communication skills are necessary.

• Leverage millions of miles of driving data to build robust and scalable learning-based systems.
• Combine multiple data sources to develop and train end-to-end models for vehicle accessories.
• Lead a machine learning vertical by defining data strategies and labeling pipelines.
• Design network architectures, train models, and validate them with real-world fleet data.
• Integrate production-quality, safety-critical software directly with vehicle firmware.
• Ship models to millions of Tesla vehicles worldwide.

• Employees at Tesla are often offered day-one coverage with multiple medical options (some at $0 paycheck cost), dental/vision, company HSA contributions, a 401(k) match, and equity programs. Most roles also include paid time off and holidays, family-building support, employee assistance, commuter and childcare benefits, and access to discounts and wellness programs.