Babel Street
An early‑career engineer on the Image & Computer Vision AI team will support the development and deployment of computer vision capabilities that power Babel Street’s intelligence applications. The role involves building and maintaining pipelines for image ingestion, preprocessing, inference, and evaluation, as well as contributing to multimodal AI systems that combine vision models with large language models for natural‑language search and reasoning over images.
Headquarters
District Of Columbia, United States
Company Size
201-500 employees
Founded
2012
Babel Street is an AI-native risk intelligence platform that helps organizations uncover hidden threats, resolve identities, and secure supply chains with mission‑grade clarity. It ingests and analyzes multilingual data across open, deep, and dark‑web sources, applying advanced analytics, identity resolution, and geospatial tools to surface actionable insights. Government, defense, and enterprise teams use Babel Street to detect threats, investigate incidents, and manage risk across people, places, and supply chains. The company offers enterprise‑grade deployments and demos to demonstrate its threat, identity, and risk intelligence capabilities.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Babel Street.
57% above the average for this role
USA/Global: Tech made by Palantir and Babel Street pose surveillance threats to pro-Palestine student protestors & migrants
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