Internship, Machine Learning Engineer, Energy Engineering (Fall 2025)

Consider before submitting an application:

This position is expected to start August/September 2025 and continue through the entire Fall term (i.e. through approximately December 2025) or into Winter/Spring 2026 if available. We ask for a minimum of 12 weeks, full-time and on-site, for most 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 work 40 hours per week on-site. Many students will be limited to part-time during the academic year.
The Internship Recruiting Team is driven by the passion to recognize and develop emerging talent. Our year-round program places the best students in positions where they will grow technically, professionally, and personally through their experience working closely with their Manager, Mentor, and team. We are dedicated to providing an experience that allows the intern to experience life at Tesla by including them in projects that are critical to their team's success.
We are the charging-data-modeling team that uses data analytics and machine learning to bridge the engineering, service, deployment and operation of Tesla's charging infrastructure and to enhance the charging experience worldwide. With over 60,000 Superchargers and several thousand destination charging sites around the world, Tesla's charging solution aims to accelerate the world's transition to sustainable energy by enabling electric mobility without compromises. We use large-scale data analysis and machine learning models to decide the deployment of the charging infrastructure in terms of location, timing and quantity. We build algorithms that power the vehicle UI features for enhancing the charging experience while minimizing the charging costs to customers.
Location: Palo Alto, CA

Responsibilities

• Use statistical analysis to extract insights on fleet usage, trends, performance
• Improve data-driven decision making through rigorous data analysis, machine learning modeling and clear communication with stakeholders
• Leverage insights to inform planning and optimization of the EV infrastructure
• Design, prototype, and production algorithms that drives customer UI features, and pricing signals
• Build reliable, fast, and dynamic data tools, and data pipelines

Requirements

• Pursuing a degree in a quantitative field e.g., (Math, Economics, Statistics, Computer Science, Operations Research, Engineering) or related field
• Strong programming skills with a solid foundation in data structures and algorithms
• Proficiency in data analysis, modeling in Python
• Proficiency in SQL relational databases and/or NoSQL databases
• Experience with statistical data analysis and machine learning
• Background in statistical learning with experience in using both supervised and unsupervised models
• Experience with experiment design and causal inference methods
• Experience with timeseries or geospatial datasets
• Experience with Spark, Hadoop and streaming data
• Quantitative projects available online (github, blog posts, etc.)

Compensation and Benefits
Benefits

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

• 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 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
• Employee Assistance Program
• Sick time after 90 days of employment 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
Expected Compensation

$20.00 - $50.00 + 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.