Image and Computer Vision AI Engineer

As an Engineer on the Image & Computer Vision AI team, you will play a hands-on role in developing and deploying computer vision capabilities that support Babel Street’s intelligence applications. You will build systems that extract, analyze, and reason over visual data—enabling facial matching, object and scene understanding, geolocation and location inference from imagery, and multimodal intelligence workflows. This role is execution-focused for engineers with strong foundations in computer vision, image processing, and machine learning.

You will implement and operate image analytics pipelines supporting facial matching, object detection, scene understanding, and image similarity, including preprocessing, feature extraction, model inference, evaluation, and optimization for mission-grade accuracy and latency. You will contribute to geospatial capabilities inferring location and context from imagery using visual cues, metadata, and learned representations for geolocation and landmark recognition. This spans practical execution in computer vision, geospatial inference, and multi-modal AI.

You will develop and support object detection, image similarity, and scene understanding in intelligence workflows. You will work closely with AI, Product, and Engineering teams to deliver reliable, scalable, cost-efficient vision capabilities integrated with multimodal LLM systems for natural language search and reasoning over images. This enables users to search and reason over images using natural language.

This is a hybrid role based out of Reston, VA/Washington DC or Somerville, MA offices. Babel Street delivers advanced AI and data analytics for identity intelligence and risk operations, empowering organizations with actionable insights to safeguard lives and protect critical assets worldwide.