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About the role
Build your Career at Tesla

Internship, Software Machine Learning Engineer, Reliability Energy Engineering (Fall 2026)
| Job Category | Engineering & Information Technology | | Location | Palo Alto, California | | Req. ID | 272619 | | Job Type | Intern/Apprentice |
What to Expect
Consider before submitting an application:
This position is expected to start August or September 2026 and continue through fall term (ending approximately December 2026 or later, if available). We ask for a minimum of 12 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 work 40 hours per week on-site. Many students will be limited to part-time during the academic year.
Internship Program at Tesla
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 provide an experience that allows the intern to experience life at Tesla by including them in projects that are critical to their team’s success.
About the Role
In this role, you will use large-scale data and models to help Tesla engineers design and validate the most compelling and reliable products for our customers. You will collect large real-time datasets from dozens of Tesla’s Energy and Vehicle products from test, factory and fleet settings. You will develop and deploy statistical models that improve decision-making on prognostics and inform design choices. You will implement AI agent workflows that enhance the productivity of scores of engineers and help Tesla leverage its rich experience to design its most reliable generation of products to-date. Your work will impact millions of Tesla customers.
What You’ll Do
- Build robust, flexible and automated software tools to enable complex analysis of real-time fleet
- Leverage AI to automate workflows and derive insights from Tesla’s rich historical data
- Design scalable and reliable data pipelines to help Tesla understand how products behave in the field
- Answer complex questions on fleet usage and behavior to enable proactive monitoring, grow reliability, and minimize field failures
- Design, develop, train, and deploy predictive / control models of physical degradation, usage and system performance
- Build visualizations to effectively communicate results
What You’ll Bring
- Currently pursuing a degree in Computer Science or a related field
- Excellent software skills and proficiency in writing maintainable, production-quality code in Python
- Excellent understanding of linear algebra, probability theory, numerical optimization, with hands-on implementation experience
- Practical experience with SQL and backend REST frameworks such as Flask or FastAPI
- Practical experience developing and deploying AI agents e.g. developing tool-calling routines and writing+deploying skills
- Familiarity with Big Data execution engines e.g. Pyspark/Trino. Familiarity with big data storage layers e.g. Iceberg
- Familiarity with CI/CD and version control
- General knowledge of physics and engineering principles
Compensation and Benefits
Benefits
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As a full-time Tesla Intern, you will be eligible for:
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Medical plans > plan options with $0 payroll deduction
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Family-building, fertility, adoption and surrogacy benefits
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Dental (including orthodontic coverage) and vision plans. Both have an option with a $0 payroll contribution
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Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Medical Plan with HSA
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Healthcare and Dependent Care Flexible Spending Accounts (FSA)
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401(k), Employee Stock Purchase Plans, and other financial benefits
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Company Paid Basic Life, AD&D, and short-term disability insurance (90 day waiting period)
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Employee Assistance Program
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Sick and Vacation time (Flex time for salary positions), and Paid Holidays
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Back-up childcare and parenting support resources
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Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
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Commuter benefits
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Employee discounts and perks program
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Expected Compensation
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$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.
Tesla is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to any factor, including veteran status and disability status, protected by applicable federal, state or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Please contact ADA@tesla.com for ADA related questions or to request ADA accommodations.
Privacy is a top priority for Tesla. We build it into our products and view it as an essential part of our business. To understand more about the data we collect and process as part of your application, please view our Tesla Talent Privacy Notice.
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