Software Engineer

This role iswellsuited forsomeonewithfoundational experiencein computer vision, image processing, machine learning, or applied AIwhois readytogrow in a hands-on engineering environment.You will work withsenior engineers and cross-functional partners to implement, test, and improvereliable vision capabilities, including integration with multimodal LLM systems that allow users to search and reason over images using natural language., * Assistin buildingandmaintainingcomputer 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.
• Help develop, test, and improve 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.
• 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.
• Write clean, maintainable Python code and contribute to production services, APIs, and internal tools.
• Assist with model evaluation, bias testing, accuracy monitoring, and documentation for vision systems.
• Help optimize inference pipelines for performance, scalability, and cost efficiency, including GPU usage, batching, and model selection.
• Collaborate with Product, AI, and Engineering teams to integrate vision capabilities into user-facing intelligence applications.

• 0-2years of experience in computer vision, image processing, applied machine learning, or related academic/project work.
• Foundational understanding of computer vision models and techniques, such as CNNs, vision transformers, feature embeddings, or image classification.
• Exposure to image analytics such as facial recognition, object detection, image similarity, or related computer vision applications.
• Programming experience inPythonand familiaritywith common CV/ML librariessuch asPyTorch, TensorFlow, OpenCV,or similar tools.
• Basic understanding of machine learning fundamentals, model evaluation, and performance tradeoffs.
• Experience working with image datasets through coursework, internships, research, open-source contributions, or professional projects.
• Ability to work collaboratively in a fast-moving, mission-driven engineering environment.

Preferred

• Exposure tofacial matching or biometric systems,including throughcoursework, research, or project experience.
• Exposure to image-based geolocation, landmark recognition,sceneanalysis, orlocation inference.
• Familiarity with multimodal AI systems, including combining vision models with LLMs, embeddings,or natural-language search.
• Familiarity with entity extraction, event extraction, or related NLP/multimodal information extraction workflows.

EDUCATION:

Bachelor's degree in Computer Science, Engineering, Data Science, ora relatedtechnical fieldrequired, or equivalent practical experience through internships, research, bootcamps, open-source work, or professional projects. 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 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.