Image & Computer Vision AI Engineer

• 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, transformers for vision, 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, TensorFlow, OpenCV, etc.).

• Solid understanding of machine learning fundamentals, model evaluation, and performance tradeoffs.

• 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.

EDUCATION:

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

Benefits at Babel Street (just to name a few...)

• Health Benefits: Babel Street covers 85-100% monthly premium costs for Medical, Dental, Vision, Life & Disability insurances - for you and your family!
• Retirement Plans: Babel Street offers both a Traditional and Roth 401(K) with a very competitive match.
• Unlimited Flexible Leave: We trust our employees to manage their own time and balance their personal and work lives.
• Holidays: Babel Street provides employees with 12 paid Federal Holidays
• Tuition Reimbursement: We are committed to investing in our employees. One way we do that is with our Tuition Reimbursement Program for continuing education.

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