8 hours ago
Responsibilities
- Develop 2D image and 3D point cloud models for object and panoptic detection.
- Create and iterate on heuristic and geometry-based algorithms for roadway features.
- Assist with tuning machine learning models to improve performance and accuracy.
- Help bring perception algorithms into real-time detection systems running on edge mapping hardware.
- Work on geospatial machine learning projects involving urban and roadway infrastructure.
Requirements
- Strong programming fundamentals in Python, including algorithmic problem-solving and clean code design.
- Ability to implement and rapidly iterate on heuristic or geometry-based algorithms.
- Hands-on experience with machine learning frameworks such as PyTorch or Jax.
- Familiarity with computer vision tasks and machine learning concepts.
- Currently pursuing a degree in Machine Learning, Computer Science, or a related field.
- Strong problem-solving, collaboration, and independent-work abilities.
Benefits
- Fall 2026 internship opportunity with practical experience working alongside industry experts.
- Opportunity to contribute to projects involving machine learning, geospatial technology, and urban infrastructure management.
Categories
About Mach9
Mach9 develops AI-powered geospatial software that converts reality-capture datasets (LiDAR and imagery) into high-precision 3D maps and engineering-ready CAD/GIS deliverables. Its flagship product, Digital Surveyor, automatically extracts assets such as utility poles, signage, curbs, and striping for surveying, civil engineering, and GIS teams working on infrastructure projects. Founded in 2021 and headquartered in San Francisco, the privately held company offers a browser-based 3D CAD platform used to speed project delivery.