Machine Learning Engineer, Scheduling Systems

Position: Staff Machine Learning Engineer, Intelligent Scheduling Systems
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Join to apply for the Staff Machine Learning Engineer, Intelligent Scheduling Systems role at Tesla

What To Expect
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 frameworks

• Own the full lifecycle of ML and optimization models — from exploration and prototyping to deployment, monitoring, and continuous improvement

• Develop workflows that leverage AI to improve decision-making, automate planning, and adapt to real-time operational constraints

• Implement prompt engineering and orchestration techniques to improve performance, reliability, and user alignment

• Conduct exploratory data analysis (EDA) to uncover insights, guide modeling decisions, and inform product direction

• Contribute to system architecture and design, especially where AI, automation, and operational scale intersect

• Collaborate cross-functionally to ensure solutions align with system design, operational needs, and end-user impact

• Apply 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 experience

• 5+ years of work experience in training and maintaining production ML models and data pipelines for real world applications

• Expertise with large language models, AI agents, prompt engineering, and AI platforms (e.g. OpenAI, Hugging Face, Lang Chain, Llama Index, etc.)

• Strong foundation in statistics, probability, ML, and optimization

• Proficiency in Python data tools (e.g., SQL, pandas, numpy, Jupyter, matplotlib)

• Familiarity with Golang or a willingness to learn it quickly

• Proven history of delivering data-driven projects from inception through deployment

• Experience with logistics, supply chain, or operations tech is a plus

• Exceptional communication and collaboration skills across disciplines

• A 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 deduction

• Family-building, fertility, adoption and surrogacy benefits

• Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution

• Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA

• Healthcare and Dependent Care Flexible Spending Accounts (FSA)

• 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits

• Company paid Basic Life, AD&D, short-term and long-term disability insurance

• Employee Assistance Program

• Sick and Vacation time (Flex time for salary positions), and Paid Holidays

• Back-up childcare and parenting support resources

• Voluntary benefits to include: critical…