Palo Alto, CA

  • Coding principles
    Pull request review, Code formatter does the work, Whiteboard before first line of code, Try cool new tools for small features, Everybody can push to prod, Bleeding-edge stack
  • Work/Life Rhythm
    No taking work home, Design your own schedule, Massive impact == fulfillment
  • Modern Tech Stack
    TensorFlow, Kubernetes, Docker Compose, Docker, MongoDB, Node.js, JavaScript, React

Our Mission

With the rapid growth of artificial intelligence, more and more expert knowledge is required to use cutting edge AI techniques to solve real world problems. At Matroid, we’re building an intuitive product that allows anyone to train and deploy computer vision models without needing to know how to write a line of code. Founded by a Stanford Professor in 2016, Matroid has raised $13.5 million in funding, and the product has been successfully used in a range of security and media applications. As leaders in machine learning and big data, we offer an intuitive platform for creating and deploying computer vision detectors. As a 2019 Gartner report highlights, users “can build, test and deploy those models through Matroid’s technology without writing a single line of code – that is why this is a cool vendor, bringing fast and sophisticated image and video recognition to the masses.” To help simplify the user's experience, we provide a wide library of pre-trained detectors that can be deployed on the cloud, on-premise, or on cameras. Deploying the detectors can be easily linked to a live feed, or used with previously recorded video footage and images, allowing Matroid to detect people, objects or events you care about. Matroid supports numerous use cases across many industries. As Gartner points out, “Organizations that have identified quick time to value use cases requiring the identification of specific objects, people or animals, the detection of specific facial characteristics, like emotions, and even the presence of logos in streaming media, can quickly take advantage of Matroid’s solution.” We also host an annual conference, Scaled Machine Learning:

Tech Stack

Fullstack: React, Javascript, NodeJS, MongoDB Infrastructure: Docker, Docker Compose, Kubernetes, Distributed Systems, Video Processing, Scheduling

Team Q&A

  • Computer Vision Made Simple

    Reza Zadeh

  • AI and Deep Learning Innovations

    Reza Zadeh

Core Values

- Technical excellence - Turning cutting edge research into useful products - Developer autonomy - Using machine learning to do good

Vacation & Benefits

- Competitive pay and equity. - The chance to constantly work on stimulating intellectual challenges. - Gym membership reimbursement. - Free, lunch, snacks, and caffeine every day. - Medical, dental, and vision insurance with 100% coverage - A flexible schedule that leaves time for all of your other interests. - A budget for whatever hardware will make you most effective. - Budget and resources to learn about the cutting edge of software engineering and computer vision.


  • Trust our intuition
  • Automate repetitive tasks
  • Intellectually curious
  • Freedom & autonomy
  • Always be learning

Cool Tech

  • Computer vision
  • Artificial intelligence

Day in the Life

  • Structured onboarding
  • Weekly executive Q&A
  • Great for parents
  • Open floor plan
  • Continous feedback
  • < 5 hours of meetings

John Goddard

Director of Product Engineering

  • Your computer/laptop specs?
  • Your code editor/IDE?

Senior Fullstack Engineer

Palo Alto, CA・Senior・Full Time


Fullstack Engineer

Palo Alto, CA・Mid Level・Full Time

Senior Infrastructure Engineer

Palo Alto, CA・Senior・Full Time

Deep Learning Engineer

Palo Alto, CA・Mid Level・Full Time

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