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Matroid
Computer Vision Made Simple11-50 Employees
  • B2B
  • Growth Stage
    Expanding market presence
  • Top Investors
    This company has received a significant amount of investment from top investors
Website
Location
Company size
11-50 people
Total raised
$33.5M
Markets
Machine LearningBig DataArtificial IntelligenceComputer Vision
View 5 jobs

Jobs at Matroid

We are looking for Engineers to join our team, from Full Stack Developers to Deep Learning Engineers. If you are looking to join a start up with plenty of opportunities for career and personal growth, then look no further.
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Engineering

Software Engineer, Infrastructure

NewPosted 1 month ago

Software Engineer, Infrastructure

  • Developing new infrastructure on AWS and Kubernetes that is secure, reliable, and scalable
  • Coding up new capabilities for the systems that power our computer vision platform
In office • Palo Alto
$140k – $160k
Engineering

Full Stack Engineer Intern for Computer Vision Products (Summer 2024)

NewPosted 1 month ago

Full Stack Engineer Intern for Computer Vision Products (Summer 2024)

  • Developing a significant feature or features for Matroid’s computer vision platform
  • Measuring and evaluating technology and design tradeoffs and alternatives
In office • Palo Alto
Engineering

Full Stack Engineer for Computer Vision Products

NewPosted 1 month ago

Full Stack Engineer for Computer Vision Products

  • 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.
In office • Palo Alto
$120k – $160k
Engineering

Deep Learning Engineer

NewPosted 1 month ago

Deep Learning Engineer

  • Train state-of-the-art CV models across a broad range of domains, such as object detection, anomaly detection, panoptic segmentation, action recognition, and tracking.
  • Deploy end-to-end CV systems across a range of environments (cloud, edge, hybrid).
In office • Palo Alto
$140k – $160k
Engineering

Deep Learning Field Engineer

NewPosted 1 month ago

Deep Learning Field Engineer

  • Train state-of-the-art CV models across a broad range of domains, such as object detection, anomaly detection, panoptic segmentation, action recognition, and tracking.
  • Deploy end-to-end CV systems across a range of environments (cloud, edge, hybrid).
In office • Palo Alto
$140k – $160k
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