Staff Machine Learning Engineer, Intelligent Scheduling Systems
About The Position
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.
Requirements
- 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
- Exceptional communication and collaboration skills across disciplines
- A strategic and proactive mindset — comfortable with ambiguity and ownership of end-to-end project delivery
Nice To Haves
- Experience with logistics, supply chain, or operations tech is a plus
Responsibilities
- 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
Benefits
- Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
- Medical plans > 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 Accounts) HSA Contribution when enrolled in the High-Deductible 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 (90 day waiting period)
- Employee Assistance Program
- Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
