Image & Computer Vision AI 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.

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 and suited for engineers with strong foundations in computer vision, image processing, and machine learning.

• Computer Vision & Image Analytics: Implement and operate image analytics pipelines that support facial matching, object detection, scene understanding, and image similarity, including image preprocessing, feature extraction, model inference, evaluation, and performance optimization.
• Geospatial & Location Inference from Imagery: Contribute to capabilities that infer location, context, or environmental attributes from imagery, supporting image-based geolocation, landmark recognition, and contextual scene analysis.
• Multimodal AI Integration: Support multimodal AI systems that combine vision models with LLMs, embeddings, and retrieval pipelines for natural‑language search and reasoning over images.

• Build and maintain computer vision pipelines for image ingestion, preprocessing, inference, and evaluation.
• Implement facial matching and identity‑related vision workflows in accordance with accuracy, safety, and compliance requirements.
• Develop and support object detection, image similarity, and 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.
• Write clean, maintainable Python code and contribute to production services and APIs.
• Assist with model evaluation, bias testing, and accuracy monitoring for vision systems.
• Optimize inference pipelines for performance, scalability, and cost efficiency (GPU usage, batching, model selection).
• Collaborate with Product and Engineering teams to integrate vision capabilities into user‑facing intelligence applications.

Required

• 3+ years of experience in computer vision, image processing, or applied machine learning.
• Hands‑on experience with computer vision models and techniques (e.g., CNNs, vision transformers, feature embeddings).
• Experience building or integrating image analytics such as facial recognition, object detection, or image similarity.
• Strong programming skills in Python
  ; experience with common CV/ML libraries (PyTorch, Tensor Flow, OpenCV, etc.).
• Solid understanding of machine learning fundamentals, model evaluation, and performance trade‑offs.
• Experience working with large image datasets and production ML pipelines.
• Ability to work collaboratively in a fast‑moving, mission‑driven engineering environment.

Preferred

• Experience with facial matching or biometric systems in regulated or high‑stakes environments.
• Experience with image‑based geolocation or scene/location inference.
• Familiarity with multimodal AI systems, including combining vision models with LLMs or natural‑language search.

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field is required. An advanced degree is a plus but not required.

• Health Benefits:
  
  Babel Street covers 85–100% of monthly premium costs for Medical, Dental, Vision, Life & Disability insurances for you and…