Job Description
Join to apply for the Staff Machine Learning Engineer, Intelligent Scheduling Systems role at Tesla
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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.
Youll 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, 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
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 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.
, Tesla
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information Technology Industries
Motor Vehicle Manufacturing, Renewable Energy Semiconductor Manufacturing, and Utilities
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Full time, Temporary work, Work experience placement, Flexible hours,