Internship, Charging Data Modeling, Machine Learning Engineer (Fall 2026)

Consider before submitting an application:

This position is expected to start in September 2026 and continue throughfallterm (endingapproximately December 2026or later, if available). We ask for a minimum of12 weeks, full-time (40 hours/week) and on-site, for most internships.Our internship program is for students who are actively enrolled in an academic program.Recent graduates seeking employment after graduation and not returning to school should apply for full-time positions, not internships.

International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying. You must be able to work40 hoursper week on-site. Many students will be limited to part-timeduring the academic year.

About the Team:

As a member of the Charging Data Modeling team, you will develop models and algorithms that bridge the engineering, service, deployment, and operation of Tesla's charging infrastructure to enhance thecustomercharging experience worldwide.You will also design next-generation fleet orchestration algorithms (with charging as a core focus) and use Tesla'sRobotaxi simulation environment to test and refine these strategies at scale.

This work is highlyimpactful-shapingthe charging experience for millions of customers today whilelayingthe foundation for autonomous fleets tomorrow.

• Use statistical analysis and large-scale data to extract insights on fleet usage, charging trends, performance, and customer behavior
• Improve data-driven decision making through rigorous analysis, machine learning modeling, and clear communication with stakeholders
• Leverage insights to inform planning, siting, timing, and optimization of Tesla's EV charging infrastructure
• Design, prototype, and help productionize algorithms that drive customer-facing UI features and pricing signals
• Develop charging-aware fleet orchestration algorithms that help determine when, where, and how vehicles should charge
• Contribute to Tesla's robotaxi simulation platform to evaluate charging strategies, stress-test algorithms, and validate results against real fleet data
• Contribute to Tesla's vehicle algorithms to predict energy consumption and recommend optimal charging locations
• Build reliable, fast, and dynamic data tools and pipelines that support modeling and decision systems at fleet scale
• Collaborate cross-functionally to turn analytical insights into product, operational, and algorithmic decisions

• Currently pursuing a Bachelor's, Master's, or PhD in a quantitative field (e.g., Math, Economics, Statistics, Computer Science, Operations Research, Engineering) with a graduation date between December 2026 and December 2027
• Strong programming skills with a solid foundation in data structures and algorithms
• Proficiency in data analysis and modeling in Python; experience with Golang and collaborative code development is a plus
• Proficiency in SQL (relational databases) and/or NoSQL databases
• Experience with statistical data analysis and machine learning
• Smart but humble, with a bias for action
• Ability to clearly communicate insights to cross-functional teams
• Background in machine learning with experience using both supervised and unsupervised models
• Experience with time-series or geospatial datasets
• Experience with experiment design and causal inference methods
• Experience with Spark, Hadoop, or streaming data
• Background in optimization techniques applied to fleet, logistics, or energy problems
• Quantitative projects available online (GitHub, blog posts, papers, etc.)
• Experience applying ML or optimization approaches to real-world infrastructure, pricing, or simulation problems

As a full-time Tesla Intern, you will be eligible for:

• Medical plans > plan options with $0 payroll deduction
• Family-building, fertility, adoption and surrogacy benefits
• Dental (including orthodontic coverage) and vision plans. Both have an option with a $0 payroll contribution
• Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Medical Plan with HSA
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
• 401(k), Employee Stock Purchase Plans, and other financial benefits
• Company Paid Basic Life, AD&D, and short-term disability insurance (90 day waiting period)
• 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
• Commuter benefits
• Employee discounts and perks program

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.