ML Engineer (Computer Vision & VLM)
Core
Develop and productionize computer vision and visual language models for intelligence and public safety projects, handling object recognition, image understanding, and geospatial data.
Role type
hands-on machine learning engineer (computer vision & VLM)
Builds
production ML models for object recognition, detection, classification, and identification using satellite imagery and geospatial data
Domain
defense, law enforcement, public safety, geospatial intelligence
Deliverable
production ML models
Required skills
computer vision, visual language models (VLMs), model training and fine-tuning, data pipeline development, large-scale visual data processing, geospatial data handling, programming
Preferred skills
georeferencing, remote sensing, photogrammetry, sensor integration (drones, cameras), cloud infrastructure, ML deployment
Technologies
Kubernetes, open-source computer vision models, visual language models
Responsibilities
Develop, train, evaluate, and fine-tune computer vision and VLMs; build data pipelines and scrapers for large-scale visual datasets; experiment with state-of-the-art models and deploy them into reliable systems; work with satellite imagery and geospatial sensors; take ownership of experimental projects; collaborate with engineers and technical leadership
Seniority
Mid-level to Senior, hands-on IC
