Babelstreet
Software Engineer
Somerville, Massachusetts, United States
Sponsorship not specifiedDetected 2 days ago
PythonMachine LearningData AnalysisComputer VisionLLMs
About the role
- Babel Street empower s government and commercial organizations to transform high-stakes identity and risk operations into a strategic advantage.
- 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 www. babelstreet.com.
- This role is well suited for someone with foundational experience in computer vision, image processing, machine learning, or applied AI who is ready to grow in a hands-on engineering environment.
Responsibilities
- Help develop, test, and improve object detection, image similarity, and scene understanding models.
- 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.
- Help optimize inference pipelines for performance, scalability, and cost efficiency, including GPU usage, batching, and model selection.
- You will help implement and maintain image analytics pipelines that support facial matching, object detection, scene understanding, and image similarity.
Requirements
- Required
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Benefits
- As an early-career Engineer on the Image & Computer Vision AI team, you will support the development and deployment of computer vision capabilities that power Babel Street's intelligence applications.
- Computer Vision & Image Analytics
- You will contribute to multimodal AI systems that combine vision models with LLMs, embeddings, and retrieval pipelines to support natural-language search and reasoning over images and image collections.
- Assist in building and maintaining computer 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.
- Assist with model evaluation, bias testing, accuracy monitoring, and documentation for vision systems.
- Collaborate with Product, AI, and Engineering teams to integrate vision capabilities into user-facing intelligence applications.
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