Software Engineer

ROLE SUMMARY:

As anearly-careerEngineer on the Image & Computer Vision AI team, you willsupport the developmentanddeployment ofcomputer vision capabilities thatpowerBabel Street's intelligence applications. You willhelpbuild systems that extract, analyze, and reason over visual data, including image search, object and scene understanding,facial matching workflows,geolocationsupport, and multimodal intelligencefeatures.

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.

This is a hybrid roleto be basedout of either our Reston, VA/Washington DCofficeor our Somerville MA office.

ROLE FOCUS;

This role spans three practical execution areas:

Computer Vision & Image Analytics

You willhelpimplement andmaintainimage analytics pipelines that support facial matching, object detection, scene understanding, and image similarity. This includessupportingimage preprocessing, feature extraction, model inference, evaluation, and performanceimprovements under the guidance of more senior team members.

Geospatial & Location Inference from Imagery

You willassistwithcapabilities that infer location, context, or environmental attributes from imageryby usingvisual cues, metadata, and learned representations. Thismay includesupporting image-based geolocation, landmark recognition, and contextual scene analysis used in intelligence workflows.

Multi-Modal AI & Image Search

You willcontribute tomultimodal AI systems that combine vision models with LLMs, embeddings, and retrieval pipelines tosupportnatural-language search and reasoning over images and image collections. You will help integrate visual understanding into broader intelligence applications and workflows, including supporting entity and event extraction from image-based intelligence data.

KEY RESPONSIBILITIES:

• 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.

QUALIFICATIONS:

Required

• 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 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. 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.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.