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. 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

[http://www.babelstreet.com/].

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

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 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 and operate image 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 imagery—leveraging visual 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 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.

QUALIFICATIONS:

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 an equal opportunity/affirmative action employer. All qualified

applicants will receive consideration for employment without regard to sex,

gender identity, sexual orientation, race, color, religion, national origin,

disability, protected Veteran status, age, or any other characteristic protected

by law. Further, Babel Street will not discriminate against applicants for

inquiring about, discussing or disclosing their pay or, in certain

circumstances, the pay of their co‐worker, Pay Transparency Nondiscrimination

[https://www.dol.gov/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf]. In

addition, Babel Street's 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.

Range for this position based on qualifications and experience

$140,000—$170,000 USD