Drimva

Mach9

Perception Intern

San Francisco · Internship · Posted Oct 8, 2026

Education
Currently pursuing a degree in Machine Learning, Computer Science, or a related field.

About the job

Develop and improve perception models for detecting urban and roadway features in 2D images and 3D point clouds.

What you'll do

  • Develop object and panoptic detection models for roadway features such as traffic lights, utility poles, curbs, and road markings.
  • Implement and iterate on heuristic or geometry-based algorithms and adapt perception models for real-time detection on edge hardware.
  • Assist with developing and tuning machine learning models to improve performance and accuracy.

What they ask for

  • Strong programming fundamentals in Python, including algorithmic problem-solving and clean code design.
  • Ability to implement and iterate quickly on heuristic or geometry-based algorithms.
  • Hands-on experience with machine learning frameworks and familiarity with computer vision tasks.
  • Currently pursuing a degree in Machine Learning, Computer Science, or a related field, with a solid understanding of machine learning concepts and techniques.

Nice to have

  • Experience with PyTorch or Jax.
  • Interest in applying machine learning to geospatial data analysis.

Tools

Python, PyTorch, Jax

AI focus

Develop and tune machine learning models for object and panoptic detection in 2D images and 3D point clouds, including real-time detection.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)