Senior Machine Learning Engineer

Role overview Develop machine learning systems for geospatial applications, including point cloud classification, image segmentation, and custom solutions. The work covers the full path from model architecture and training to optimization for edge or cloud deployment, alongside collaboration with customers on complex technical challenges.

Responsibilities - Design architectures for computer vision, 3D perception, and geospatial machine learning tasks. - Train models for point cloud classification and image segmentation. - Adapt and optimize models for production use on edge or cloud infrastructure. - Develop custom AI solutions in response to customer problems. - Work directly with customers to understand and solve challenging use cases.

Requirements - Strong background in computer vision, 3D perception, or both. - Practical experience building or adapting machine learning architectures. - Experience deploying machine learning models to production. - Proficiency with PyTorch and Python, plus comfort working with cloud platforms. - Experience with LiDAR, remote sensing, or autonomous systems.

Benefits and work setup - Remote position; candidates based in the United States are preferred.