Internship, Machine Learning Engineer, NVH (Summer 2025) Full-time

Consider before submitting an application:

This position is expected to start around May 2025 and continue through the Summer term (approximately August 2025) or into Fall 2025 if available and there is an opportunity to do so. We ask for a minimum of 12 weeks, full-time 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.

Responsibilities

• 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

Requirements

• 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.
• 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

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)
• LGBTQ+ care concierge services
• 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.