Mach9 is at the forefront of leveraging advanced machine learning and computer vision techniques to transform raw geospatial data into actionable insights to help civil engineers build and maintain infrastructure globally. Our first product, Mach9 Digital Surveyor, helps surveyors automatically extract features from large-scale imagery and 3D datasets over 30x faster than today's manual and labor-intensive drafting workflows, accelerating the development of cost-effective and sustainable transportation and utility infrastructure. Mach9 supports leading asset owners and engineering and construction organizations globally solve the toughest engineering design, mission planning, and asset management problems.
As a Full-Stack Intern at Mach9, you will contribute to a range of projects that are critical to the development and enhancement of our core products. You will work closely with our engineering and product teams to build and maintain scalable, high-performance systems that process and analyze large volumes of geospatial data. You'll build streamlined workflows for management and review of 3D point cloud and vector data, and develop tools to visualize and interact with the results of our machine learning models.
Develop workflows for QA/QC of new geospatial features, such as utility networks or rail infrastructure, using 3D point cloud and vector data.
Build a web-based tool for visualizing and interacting with the results of our machine learning models, enabling users to review and annotate detected urban features.
Contribute to bringing our cloud software stack into an on-premises environment for better security and performance.
Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Past experience with web development, including proficiency in JavaScript or Typescript, HTML, and CSS, and familiarity with frameworks such as React.
Bonus: experience with 3D graphics and visualization libraries such as Three.js or CesiumJS.
Excellent problem-solving abilities and a collaborative mindset, with the capacity to work independently on complex tasks.
Graduating by May 2026.
This internship presents a unique opportunity to contribute to impactful projects at the intersection of machine learning and geospatial technology. You will work alongside industry experts, gain valuable practical experience, and help shape the future of urban infrastructure management.
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