Staff Machine Learning Engineer, Intelligent Scheduling SystemsTesla • Fremont, CA, United States

Staff Machine Learning Engineer, Intelligent Scheduling Systems

Tesla • Fremont, CA, United States

[job_card.30_days_ago]

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[job_card.full_time]

[job_card.job_description]

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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, 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

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Motor Vehicle Manufacturing, Renewable Energy Semiconductor Manufacturing, and Utilities

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