What the role involves
About the role
As a Perception 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 have the opportunity to work on advanced 2D image and 3D point cloud models for object and panoptic detection, focusing on urban and roadway features such as traffic lights, utility poles, curbs, and painted road markings.
Example past and future projects
Develop an initial prototype to detect paint lines and curbs on roadways. (This project ended up developing into one of our new products).
Bring our perception models and algorithms into a real-time detection domain, trading off accuracy for speed to run on an advanced edge mapping hardware system.
Assist in the development and tuning of machine learning models to enhance performance and accuracy.
What We're Looking For
Strong programming fundamentals in Python, with a focus on algorithmic problem-solving and clean code design.
Ability to implement and iterate on heuristic or geometry-based algorithms quickly.
Hands-on experience with machine learning frameworks (e.g., PyTorch, Jax) and familiarity with computer vision tasks.
A keen interest in applying machine learning to solve real-world problems, particularly in the context of geospatial data analysis.
Excellent problem-solving abilities and a collaborative mindset, with the capacity to work independently on complex tasks.
Currently pursuing a degree in Machine Learning, Computer Science, or a related field, with a solid understanding of machine learning concepts and techniques.
Why Mach9?
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.
About Mach9
Mach9 accelerates how teams model and understand the world with automated feature extraction technology. Founded in 2021 and headquartered in San Francisco, Mach9's flagship Digital Surveyor platform helps transportation agencies, utility companies, and engineering firms extract miles of road corridor projects in a fraction of traditional processing time. Built on decades of research from Carnegie Mellon University's Robotics Institute, Mach9 empowers the architecture, engineering, and construction industries to tackle large-scale infrastructure projects with unprecedented speed and accuracy. Leading survey and geospatial organizations, including Langan, Olsson, Woolpert, HDR, and major state DOTs trust Digital Surveyor to create engineering-grade maps for infrastructure design and operations.
Full Mach9 profile