What To Expect
Consider before submitting an application:

This position is expected to start May 2026 and continue through summer term (ending approximately August 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 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.

About The Team
The NVH team is looking for a Machine Learning Engineer to join the team. In this role, you will be involved in developing and implementing audio algorithms that will enable advanced diagnostics for Tesla products. You will also collaborate with our manufacturing and audit teams to seamlessly integrate your algorithms into our production processes.

What You'll Do

Develop and implement audio algorithms that will enable advanced diagnostics for Tesla products

Design and develop automated data generation pipelines that create various high quality ground truth data for real-world perception problems

Deploy and scale your work across millions of Tesla vehicles worldwide

Collaborate with our manufacturing and audit teams to seamlessly integrate your algorithms into our production processes

What You'll Bring

Currently pursuing a degree in Data Science, Computer Science, Computer Engineering, or related degree

Strong experience with Python, C++, and software engineering best practices

An “under the hood” knowledge of deep learning: layer details, loss functions, optimization, etc.

Experience in sound event detection and sound event classification

Fluency with common neural network architectures for audio event detection and classification

Experience with PyTorch, or another major deep learning framework such as TensorFlow

Experience with data manipulation tools including jupyter notebooks, numpy, scipy, matplotlib, scikit-learn, Python & Bash scripting, Linux environment

Record of driving research projects from start to end, including conception, experimentation, iteration, and integration into a working product

Benefits
Compensation and Benefits
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

Expected Compensation

$20.00 - $50.00/hour + 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.

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