Perception Intern
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
