Full Stack Engineer Intern, Matroid

Computer Vision Products, Summer 2025

Salary not provided
React
TypeScript
Redux
JavaScript
Node.js
San Francisco Bay Area

Office located in Palo Alto, CA

Matroid

Non-technical computer vision platform

Be an early applicant

Matroid

Non-technical computer vision platform

21-100 employees

B2BArtificial IntelligenceVisualisationComputer VisionSaaS

Be an early applicant

Salary not provided
React
TypeScript
Redux
JavaScript
Node.js
San Francisco Bay Area

Office located in Palo Alto, CA

21-100 employees

B2BArtificial IntelligenceVisualisationComputer VisionSaaS

Company mission

To make computer vision simple and accessible to everyone.

Role

Who you are

  • 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

Desirable

  • 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 the job involves

  • 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
  • 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
  • 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

Our take

Maitroids' platform renders the need for a data scientist obsolete​​. It enables enterprises to deploy computer vision solutions by automating the process of analysing imagery data, leaving companies to free up employees who were previously completing tedious manual tasks.

Matroid has developed a partnerships program attracting heavyweights Oracle, HP, and Dell, distancing themselves from behemoths Facebook and Alphabet, who have their own machine vision software divisions. The accessibility of its platform is what makes it so appealing to clients.

Led by Stanford professor and machine learning expert Reza Zadeh, the company launched its first computer vision product in 2017. Fast forward to Oct 2020 and Maitroid garnered $20m in Series B funding led by Energize Ventures. This finance has been used to accelerate product development and go-to-market expansion in manufacturing as well as the video security market.

Steph headshot

Steph

Company Specialist

Insights

Top investors

Some candidates hear
back within 2 weeks

11% employee growth in 12 months

Company

Funding (last 2 of 3 rounds)

Oct 2020

$20m

SERIES B

Sep 2017

$10m

SERIES A

Total funding: $33.5m

Company benefits

  • Free lunch, snacks, drinks, and caffeine every day
  • Gym membership with yoga and pilates classes next door
  • Budget for whatever hardware you want
  • Competitive salary and equity
  • Flexible hours
  • Dental and vision insurance with 100% paid premiums
  • Work from home opportunities
  • Health insurance

Company values

  • Accelerate AI, responsibly, through vision. AI is an ambitious, unsolved problem, so we're building a world-class team with innovation and engineering excellence embedded into our culture.

Company HQ

University South, Palo Alto, CA

Leadership

Earned a Ph.D in Computational Mathematics from Stanford University. Previously Senior Data Scientist at Twitter for 2 years and Technical Advisor at Databricks for 3 years.

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