Perception Intern, Fall 2026
Core
Develop 2D image and 3D point cloud models for object and panoptic detection, create heuristic and geometry-based algorithms for roadway features, and tune machine learning models for real-time detection on edge mapping hardware.
Role type
Intern, perception engineer (computer vision & geospatial ML)
Builds
Real-time detection systems for urban and roadway infrastructure
Domain
Geospatial technology, urban infrastructure, computer vision
Deliverable
production ML models
Required skills
Python programming, algorithmic problem-solving, heuristic/geometry-based algorithm design, machine learning frameworks (PyTorch, Jax), computer vision concepts
Preferred skills
Clean code design, independent work, collaboration
Technologies
PyTorch, Jax
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
Seniority
Intern
