Image & Computer Vision AI Engineer

Babel Street is the trusted technology partner for the worlds 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 .

ROLE SUMMARY:

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 Streets intelligence applications. You will build systems that extract analyze and reason over visual dataenabling 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 who want to apply their skills to real-world mission-driven problems. You will work closely with AI Product and Engineering teams to deliver reliable scalable and cost-efficient vision capabilities including integration with multimodal LLM systems that allow users to search and reason over images using natural language.

This is a hybrid role to be based out of either our Reston VA/Washington DC office or our Somerville MA office.

ROLE FOCUS;

This role spans three practical execution areas:

Computer Vision & Image Analytics

You will implement andoperateimage analytics pipelines that support facial matching object detection scene understanding and image similarity. This includes image preprocessing feature extraction model inference evaluation and performance optimization to meet mission-grade accuracy and latency requirements.

Geospatial & Location Inference from Imagery

You will contribute to capabilities that infer location context or environmental attributes from imageryleveragingvisual cues metadata and learned representations. This includes supporting image-based geolocation landmark recognition and contextual scene analysis used in intelligence workflows.

Multi-Modal AI & Image Search

You will support multimodal AI systems that combine vision models with LLMs embeddings and retrieval pipelines to enable natural-language search and reasoning over images and image collections. You will help integrate visual understanding into broader intelligence applications and workflows.

KEY RESPONSIBILITIES:

• Build andmaintaincomputer vision pipelines for image ingestion preprocessing inference and evaluation.

• Implement facial matching and identity-related vision workflowsin accordance withaccuracy 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.

• Assistwith model evaluation bias testing and accuracy monitoring for vision systems.

• Optimizeinference pipelines for performance scalability and cost efficiency (GPU usage batching modelselection).

• Collaborate with Product and Engineering teams to integrate vision capabilities into user-facing intelligence applications.

QUALIFICATIONS:

• 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 inPython; 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 andproductionML pipelines.

• Ability to work collaboratively in a fast-moving mission-driven engineering environment.

Preferred

• Experience withfacial matching or biometric systemsin regulated or high-stakesenvironments.
• Experience with image-based geolocationor scene/location inference.
• Familiarity with multimodal AI systems including combining vision models with LLMs or natural-language search.

EDUCATION:

Bachelors degree in Computer Science Engineering Data Science ora relatedtechnical fieldrequired.
Advanced degree is a plus but notrequired.

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 anequalopportunity/affirmative actionemployer. All qualified applicants will receive consideration foremploymentwithout regard to sex gender identity sexual orientation race color religion national origin disability protected Veteran status age or any other characteristic protected by law. FurtherBabel Street will not discriminate against applicants for inquiring about discussing or disclosing their pay or in certain circumstances the pay of their coworkerPay Transparency Nondiscrimination.In addition Babel Streets policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations.