Internship, Machine Learning Engineer, Factory Software (Winter/Spring 2026)

What to Expect

Consider before submitting an application:  

This position is expected to start around January 2026 and continue through the Winter/Spring term (ending approximately May 2026) or continuing into Summer 2026 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 Programs at Tesla

The Internship Recruiting Team is driven by the passion to recognize emerging talent. Our year-round program places the best students in positions that they will grow both technically and personally through their experience working closely with their Manager, Mentor, and team. We are dedicated to providing an experience that allows for the intern to experience life at Tesla by giving them ownership over projects that are critical to their team’s success.

About the Team

Factory Software is responsible for managing the applications that run our production, logistics, maintenance, and safety systems. Machine Learning Engineers cut across all these domains to optimize our ability to build the best products efficiently. A Machine Learning Engineer will train custom computer vision models to detect quality defects before a vehicle leaves the factory or to guide a robot to automate production. They utilize natural language processing to do question answering and systematically identify the types of issues encountered by customers. Statistics and optimization techniques are used to reduce costs of packaging and optimize factory layouts and process designs. The best engineers deeply understand the needs of the operation teams and solve problems at the source using the techniques most applicable to each case. Machine learning engineers can develop novel algorithms, build and clean datasets, train models, integrate models into the codebase, and perform continuous automated monitoring to ensure long-term success.

What You’ll Do

• Image processing related: Responsible for the collection, sorting, filtering, cleaning, and other work of large batches of images for machine vision projects, need to be able to use tools such as Python, OpenCV, PIL, Pandas, Numpy, etc

• Model development related: Responsible for data preprocessing for machine vision project classification, object recognition, image segmentation models, etc., as well as model training, iteration, and retraining, as well as model accuracy improvement, model search and other model-related tasks. Python, TensorFlow, Pandas, MongoDB (Aggregation), Redis, Kafka and other capabilities

• Core algorithm related: Responsible for the algorithm development tasks of the machine vision project platform, mainly involving Python software development and algorithm development. Requires Python, Kubernetes, Docker, Kafka, Redis, MongoDB, etc.

• Data mining related: Use machine learning and data mining and other related technologies to mine the business value of massive user data to meet business development needs

• Project management related: responsible for connecting with the company's internal machine vision projects and can independently undertake project management tasks

What You’ll Bring

• Currently pursuing a degree in Computer Science, Information Technology or a related field with a graduation date between 2026-2027

• Able to relocate and work onsite in Fremont, CA

• Good knowledge of Python, Javascript/Typescript, Golang or similar

• Experience working with one or more infrastructure components (MySQL, PostgreSQL, In-memory caches, among others)

• Experience building modern web applications

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

$40.00 - $56.00 + 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.