Senior Machine Learning Integration Engineer

Job Description

Job 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 SI 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 models to millions of Tesla vehicles worldwide 

Job 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