Join to apply for the Staff Machine Learning Engineer, Intelligent Scheduling Systems role at Tesla 2 days ago Be among the first 25 applicants Join to apply for the Staff Machine Learning Engineer, Intelligent Scheduling Systems role at Tesla What To Expect

If you want to know about the requirements for this role, read on for all the relevant information. 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.

What You'll Do

Design, build, and maintain production-grade intelligent scheduling systems powered by AI tools like large language models and agentic frameworksOwn the full lifecycle of ML and optimization models — from exploration and prototyping to deployment, monitoring, and continuous improvementDevelop workflows that leverage AI to improve decision-making, automate planning, and adapt to real-time operational constraintsImplement prompt engineering and orchestration techniques to improve performance, reliability, and user alignmentConduct exploratory data analysis (EDA) to uncover insights, guide modeling decisions, and inform product directionContribute to system architecture and design, especially where AI, automation, and operational scale intersectCollaborate cross-functionally to ensure solutions align with system design, operational needs, and end-user impactApply software engineering best practices — including version control, testing, CI/CD, and containerization — to ML and data pipelines

What You'll Bring

Degree in Computer Science, Artificial Intelligence, Data Science, Operations Research, Applied Math, or a related field (MS/PhD a plus), or related field, or equivalent experience5+ years of work experience in training and maintaining production ML models and data pipelines for real world applicationsExpertise with large language models, AI agents, prompt engineering, and AI platforms (e.g. OpenAI, HuggingFace, LangChain, LlamaIndex, etc.)Strong foundation in statistics, probability, ML, and optimizationProficiency in Python data tools (e.g., SQL, pandas, numpy, Jupyter, matplotlib)Familiarity with Golang or a willingness to learn it quicklyProven history of delivering data-driven projects from inception through deploymentExperience with logistics, supply chain, or operations tech is a plusExceptional communication and collaboration skills across disciplinesA strategic and proactive mindset — comfortable with ambiguity and ownership of end-to-end project delivery

Benefits Compensation and Benefits Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire: Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deductionFamily-building, fertility, adoption and surrogacy benefitsDental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contributionCompany Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSAHealthcare and Dependent Care Flexible Spending Accounts (FSA)401(k) with employer match, Employee Stock Purchase Plans, and other financial benefitsCompany paid Basic Life, AD&D, short-term and long-term disability insuranceEmployee Assistance ProgramSick and Vacation time (Flex time for salary positions), and Paid HolidaysBack-up childcare and parenting support resourcesVoluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insuranceWeight Loss and Tobacco Cessation ProgramsTesla Babies programCommuter benefitsEmployee discounts and perks program

Expected Compensation

$164,480 - $292,800/annual salary + cash and stock awards + benefits

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

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