Tesla is seeking a Machine Learning Engineer to join our cross-functional team of ML and software engineers focused on building and scaling intelligent scheduling systems that drive service operations across our global network. This includes solving complex, high-impact problems such as vehicle routing, resource allocation, demand forecasting, and operational optimization.
In this role, your primary focus will be using and integrating state-of-the-art AI tools — including large language models (LLMs) and autonomous agents — to build intelligent systems that enhance and automate scheduling workflows. You'll be responsible for bringing AI capabilities into production through robust engineering, experimentation, and continuous improvement.
You’ll collaborate with a team that blends software engineering, data science, and applied ML to deliver scalable solutions that operate in real-world environments.
Job posting details for Machine Learning Engineer, Intelligent Scheduling Systems at Tesla in Fremont, California. Compensation / salary range: $133,440 - $200,160/annual salary + cash and stock awards + benefitsPay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. ClimateTechList gathers 9,000+ job openings from over 582 climate tech companies and updates them daily.
