Software Engineer, AI Engineer (Applied​/Software), Machine Learning​/ ML Engineer

Babel Street is the trusted technology partner for the world’s most advanced identity intelligence and risk operations. We deliver advanced AI and data analytics solutions providing unmatched, analysis-ready data regardless of language, proactive risk identification, 360-degree insights, high-speed automation, and seamless integration into existing systems. Babel Street empowers government and commercial organizations to transform high-stakes identity and risk operations into a strategic advantage.

The actionable insights we deliver safeguard lives and protect critical assets around the world. Babel Street is headquartered in Reston, Virginia, with regional offices in Boston, MA and Cleveland, OH, and international offices in Australia, Canada, Israel, Japan, and the U.K. For more information, visit

As anearly-career

Engineer on the Image & Computer Vision AI team, you will support the developmentanddeployment of computer vision capabilities thatpower

Babel Street’s intelligence applications. You willhelpbuild systems that extract, analyze, and reason over visual data, including image search, object and scene understanding,facial matching workflows,geolocationsupport, and multimodal intelligencefeatures.

This role iswellsuited forsomeonewithfoundational experience in computer vision, image processing, machine learning, or applied AIwhois readytogrow in a hands-on engineering environment.

You will work with senior engineers and cross-functional partners to implement, test, and improvereliable vision capabilities, including integration with multimodal LLM systems that allow users to search and reason over images using natural language.

This is a hybrid roleto be basedout of either our Reston, VA/Washington DCofficeor our Somerville MA office.

This role spans three practical execution areas:

You willhelpimplement andmaintainimage analytics pipelines that support facial matching, object detection, scene understanding and image similarity. This includessupportingimage preprocessing, feature extraction, model inference, evaluation, and performance improvements under the guidance of more senior team members.

You willassistwithcapabilities that infer location, context, or environmental attributes from imageryby usingvisual cues, metadata, and learned representations. Thismay include supporting image-based geolocation, landmark recognition, and contextual scene analysis used in intelligence workflows.

You will contribute tomultimodal AI systems that combine vision models with LLMs, embeddings, and retrieval pipelines tosupportnatural-language search and reasoning over images and image collections. You will help integrate visual understanding into broader intelligence applications and workflows, including supporting entity and event extraction from image-based intelligence data.

• Assistin buildingandmaintainingcomputer vision pipelines for image ingestion, preprocessing, inference, and evaluation.
• Support facial matching and identity-related vision workflows in accordance with accuracy, safety, and compliance requirements.
• Help develop, test, and improve object detection, image similarity, or scene understanding models.
• Contribute to image-based geolocation and location inference capabilities using visual features and contextual signals.
• Support multimodal AI workflows that combine image embeddings with LLM-based search and reasoning.
• Support multimodal workflows that connect visual understanding with entity and event extraction, helping identify people, places, objects, activities, and relevant contextual signals from image-based intelligence data.
• Write clean, maintainable Python code and contribute to production services, APIs, and internal tools.
• Assist with model evaluation, bias testing, and accuracy monitoring and documentation for vision systems.
• Help optimize inference pipelines for performance, scalability, and cost efficiency, including GPU usage, batching, and model selection.
• Collaborate with Product, AI, and Engineering teams to integrate vision capabilities into…