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.
Not sure what skills you will need for this opportunity Simply read the full description below to get a complete picture of candidate requirements.
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 modelingdecisions, 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, HuggingFace, LangChain, LlamaIndex, 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
Compensation and Benefits 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 illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
Weight Loss and Tobacco Cessation Programs
Tesla Babies program
Commuter benefits
Employee 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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