Senior Machine Learning Engineer
Core
Design, build, and operate production pipelines that transform petabytes of 2D/3D aerial imagery and geospatial data into clean, property-level map data using deep learning and geospatial algorithms.
Role type
Senior Machine Learning Engineer (Geospatial/Computer Vision)
Builds
Automated, high-quality map data products for internal systems and external customers
Domain
Geospatial analysis, Computer Vision, Deep Learning
Deliverable
production ML models
Required skills
Scientific Python, Deep Learning (PyTorch), Geospatial algorithms, Distributed compute, GPU optimization, Production pipeline engineering, Statistical validation, Systems thinking
Preferred skills
Cloud-native environments, Agentic coding tools, Compiled code optimization
Technologies
Python, PyTorch, GEOS, Shapely, GeoPandas, GeoPolars, Linux, Git
Responsibilities
Design and run production pipelines for aerial imagery processing; Monitor and diagnose pipeline failures; Optimize pipeline performance and cost via profiling and distributed compute; Validate model and pipeline changes against current outputs; Develop geospatial algorithms for feature stitching and clipping; Deploy research models to production at scale; Build tools for internal data discovery and usage.
Seniority
Senior, hands-on IC
