About the role#
Factory Software manages the applications that run production, logistics, maintenance, and safety systems. As a Machine Learning Engineer intern, you will work across these domains to optimize how we build products. You will solve problems for operation teams by applying machine learning, statistics, and optimization techniques.
What you'll do#
- Train custom computer vision models to detect quality defects or guide robots.
- Use natural language processing for question answering and issue identification.
- Apply statistics and optimization to reduce packaging costs and improve factory layouts.
- Develop algorithms, build and clean datasets, train models, and integrate them into the codebase.
- Perform continuous automated monitoring to ensure long-term model success.
- Collect, sort, filter, and clean large batches of images for machine vision projects.
- Preprocess data for classification, object recognition, and image segmentation.
- Mine business value from large datasets to support development needs.
- Connect with internal machine vision projects and manage project tasks.
What you'll need#
- Currently pursuing a degree in Computer Science, Information Technology, or a related field.
- Graduation date between December 2027 and December 2028.
- Ability to work 40 hours per week on-site.
- Proficiency in Python, Javascript, Typescript, Golang, or similar languages.
- Experience with infrastructure components like MySQL, PostgreSQL, or in-memory caches.
- Experience building modern web applications.
Location & details#
- Location: Fremont, California.
- Term: Winter 2027 and Spring 2027.
- This is a paid, full-time, on-site internship.
About Tesla
Tesla produces electric vehicles, battery storage systems, and solar energy products. Founded in 2003, the company operates six vertically integrated factories across three continents. It is headquartered in Austin, Texas, and employs over 10,000 people. The organization designs, manufactures, sells, and services its products internally.
How to get in at Tesla
Applying early at Tesla provides a distinct advantage because recruiters review candidates before the applicant pool becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you apply among the first and get seen before the pile grows. Reaching out to the right people often yields better results than submitting to a general queue. Intern Insider surfaces the recruiters behind the company roles so you can contact them directly to ask about the position or a referral, which materially improves your response rates.
