Perception Intern

Your Role: Here’s what you will be doing:

Contribute to projects developing and enhancing core products focused on 2D image and 3D point cloud models for object and panoptic detection. Work on detecting urban and roadway features such as traffic lights, utility poles, curbs, and painted road markings. Develop prototypes, such as initial detection of paint lines and curbs on roadways. Adapt perception models and algorithms for real-time detection on advanced edge mapping hardware, balancing accuracy and speed. Assist in developing and tuning machine learning models to improve performance and accuracy.

Strong programming fundamentals in Python, emphasizing algorithmic problem-solving and clean code design. Ability to quickly implement and iterate on heuristic or geometry-based algorithms. Hands-on experience with machine learning frameworks such as PyTorch or Jax and familiarity with computer vision tasks. Keen interest in applying machine learning to real-world problems, especially in geospatial data analysis. Excellent problem-solving skills and a collaborative mindset, capable of working independently on complex tasks. Currently pursuing a degree in Machine Learning, Computer Science, or a related field, with solid understanding of machine learning concepts and techniques.