Matroid
Full Stack Engineer Intern for Computer Vision Products (Summer 2025)
Matroid, Palo Alto, California, United States, 94306
About Matroid
Matroid's mission is to enable computers to visually understand the world.
With a “no programming required” product, Matroid empowers businesses and industries with our computer vision solutions. Our users can deploy cutting-edge, deep neural networks on the cloud or on-premise with the click of a button.
Founded in 2016 by a Stanford professor, Matroid has raised $33.5 million from NEA, Energize Ventures, and Intel Capital and has a broad range of customers and partners in manufacturing, industrial IoT, and security.
We're looking for a talented Software Engineering Intern to assist the Full Stack team in developing the underlying systems and services that power Matroid's computer vision platform.
You'll be working onsite at our new downtown Palo Alto office, located near the Stanford campus and Caltrain.
What you'll be doing
Developing a significant feature or features for Matroid's computer vision platform
Measuring and evaluating technology and design tradeoffs and alternatives
Iteratively scoping, designing, and building your project while getting feedback and mentorship from experienced team members
How you'll be doing it
You will work on a standalone feature with autonomy, yet also have the guidance and mentorship of senior team members
You'll be working with a modern technology stack
You will be part of a fast-moving, world-class, multidisciplinary engineering team at a Silicon Valley startup
You will learn a lot along the way, diving into new technologies and the world of computer vision both on your own and during frequent company tech talks.
What you bring to the table
Working towards a degree in CS or equivalent
Significant experience working web applications on either via previous work experience or personal projects
Passion for and attention to detail when working on user-facing features
Expertise with JavaScript / TypeScript and React
Willingness and eligibility for security clearance up to TS/SCI
Bonus points if...
You've built browser based features on top of machine learning technologies
Have experience with: Redux, Node.js, Express.js
Have worked with video or graphics in the browser
What we offer in return
Competitive pay and compensation.
The chance to constantly work on stimulating intellectual challenges.
Gym membership reimbursement.
Free lunch, healthy drinks, and snacks every day.
A flexible schedule that leaves time for all of your other interests.
Resources to learn about the cutting edge of software engineering and computer vision.
You'll be working at our new office in downtown Palo Alto, just a five-minute walk from the Caltrain station.
Matroid is committed to creating a diverse work environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.
Matroid's mission is to enable computers to visually understand the world.
With a “no programming required” product, Matroid empowers businesses and industries with our computer vision solutions. Our users can deploy cutting-edge, deep neural networks on the cloud or on-premise with the click of a button.
Founded in 2016 by a Stanford professor, Matroid has raised $33.5 million from NEA, Energize Ventures, and Intel Capital and has a broad range of customers and partners in manufacturing, industrial IoT, and security.
We're looking for a talented Software Engineering Intern to assist the Full Stack team in developing the underlying systems and services that power Matroid's computer vision platform.
You'll be working onsite at our new downtown Palo Alto office, located near the Stanford campus and Caltrain.
What you'll be doing
Developing a significant feature or features for Matroid's computer vision platform
Measuring and evaluating technology and design tradeoffs and alternatives
Iteratively scoping, designing, and building your project while getting feedback and mentorship from experienced team members
How you'll be doing it
You will work on a standalone feature with autonomy, yet also have the guidance and mentorship of senior team members
You'll be working with a modern technology stack
You will be part of a fast-moving, world-class, multidisciplinary engineering team at a Silicon Valley startup
You will learn a lot along the way, diving into new technologies and the world of computer vision both on your own and during frequent company tech talks.
What you bring to the table
Working towards a degree in CS or equivalent
Significant experience working web applications on either via previous work experience or personal projects
Passion for and attention to detail when working on user-facing features
Expertise with JavaScript / TypeScript and React
Willingness and eligibility for security clearance up to TS/SCI
Bonus points if...
You've built browser based features on top of machine learning technologies
Have experience with: Redux, Node.js, Express.js
Have worked with video or graphics in the browser
What we offer in return
Competitive pay and compensation.
The chance to constantly work on stimulating intellectual challenges.
Gym membership reimbursement.
Free lunch, healthy drinks, and snacks every day.
A flexible schedule that leaves time for all of your other interests.
Resources to learn about the cutting edge of software engineering and computer vision.
You'll be working at our new office in downtown Palo Alto, just a five-minute walk from the Caltrain station.
Matroid is committed to creating a diverse work environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.