Lead ML efforts for intelligent scheduling systems that optimize Tesla’s operations, using LLMs, optimization, and data‑driven automation to improve planning and decision‑making.
Responsibilities
Design, build, and own ML‑powered scheduling and optimization systems for Tesla operations
Lead full lifecycle of ML and optimization models: exploration, prototyping, deployment, and continuous improvement
Apply LLMs and agentic frameworks to automate planning and adapt to real‑time constraints
Perform exploratory data analysis to guide modeling and product direction
Contribute to system architecture at the intersection of AI, automation, and scale
Benefits
Senior‑level compensation; Glassdoor estimates for Staff ML Engineers at Tesla show median total pay around $208K with significant equity componentStandard Tesla benefits (healthcare, equity, etc.)