Full Stack Engineer, Matroid

Computer Vision Products

Salary not provided

+Equity

React
MongoDB
Docker
Kubernetes
JavaScript
Node.js
Semantic
Junior, Mid and Senior level
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

+Equity

React
MongoDB
Docker
Kubernetes
JavaScript
Node.js
Semantic
Junior, Mid and Senior level
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

  • You have a strong handle on modern JavaScript development, even if you don’t know every single JS quirk
  • You are a self-starter who can prioritize what to work on and fully design, build, and write tests for new features
  • You’re comfortable moving across the stack: on a typical day, you might optimize a database query and tweak a user interface to be more intuitive
  • You have an eye for design and an understanding of what can make a user interface more intuitive and delightful
  • You can show that you’re smart, analytical, and a fast learner. Sometimes you’ll work on things using unfamiliar languages or technologies, but you know you can handle that
  • There aren’t any strict requirements for your background, but you’re technical. Maybe you have a CS (or similar) degree, or you’re a boot camp grad with a STEM background and strong portfolio, or you might be self-taught with a few years of industry experience
  • It’s a plus if you have experience in areas that might be relevant to a startup working on computer vision: data visualization, scaling web applications, DevOps, etc…
  • Willingness and eligibility for security clearance up to TS/SCI

What the job involves

  • At Matroid, you will have the opportunity to work directly with founder and CEO, Reza Zadeh, and a world-class engineering team
  • You’ll immediately take on high-impact projects, building features like visual search, semantic segmentation, custom object tracking, model interpretability, video summarization, and the infrastructure required to run complex machine learning workloads
  • We’re looking for a talented full-stack JavaScript engineer to design and develop novel features for our computer vision platform
  • Creating a product in a new space requires creativity and technical acuity, and as part of the Matroid product team, you’ll shape the functionality and feel of our platform, breaking new ground while working in an engineering culture that fosters employee empowerment
  • Over time, your role on the team will evolve with your growing interests and skill set
  • You’ll be working at our new office in downtown Palo Alto, just a five-minute walk from the Caltrain station
  • Design and develop features for a computer vision platform that is truly the first of its kind
  • Identify new technologies and best practices for our growing engineering team
  • Improve site performance on both the client and server-side
  • Incorporate user feedback to design and build a better product
  • Create better visualizations for the outputs of computer vision models running on video streams and images
  • Ensure that our platform features work at an ever-growing scale
  • You’ll be part of a world-class, multidisciplinary engineering team, where each member identifies and prioritizes valuable and interesting new features to work on
  • You will operate in a collaborative but highly autonomous environment that isn’t bogged down by unnecessary meetings or project management
  • You will know that almost everything you build affects real-world users, and you will set the quality standards for your work appropriately
  • You will think creatively and your suggestions about new features and ideas will be considered by other members of the team
  • You will have direct access to customers and be able to iterate on your features based on their feedback
  • You’ll be working with modern technologies like React, Node.js, MongoDB, Docker, and Kubernetes
  • 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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