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Perception Intern

Mach9· Engineering
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San FranciscoInternPosted 1w ago

About the role

Internship focused on developing and enhancing perception models for 2D image and 3D point cloud data, with applications to urban and roadway features, including real-time detection on edge hardware.

Responsibilities

  • Develop an initial prototype to detect paint lines and curbs on roadways.
  • Bring 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.

Qualifications

  • Strong programming fundamentals in Python with emphasis 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 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.

Skills

Required:Python programmingAlgorithms (heuristic / geometry-based)Machine learning frameworks
Nice to have:Geospatial data analysis
Last updated Oct 15, 2026. Interested? Apply on the company site.
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About Mach9

The Fastest Tool for Automating Geospatial Production

Mach9 is at the forefront of leveraging advanced machine learning and computer vision techniques to transform geospatial data into actionable insights for urban development and infrastructure management. Our cutting-edge technology automates the detection and analysis of key urban features, aiding in the planning and maintenance of transportation networks.

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