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Jobs · Engineering · Massachusetts

Image & Computer Vision AI Engineer

Babel Street · Somerville, MA · 5 mo ago
Engineering$140k–$170k/yrFull-time

Role Summary

Babel Street is seeking an Engineer on the Image & Computer Vision AI team to develop and deploy computer vision capabilities that support Babel Street’s intelligence applications. This role involves building systems that extract, analyze, and reason over visual data to enable facial matching, object and scene understanding, geolocation and location inference from imagery, and multimodal intelligence workflows.

ROLE FOCUS

  • Computer Vision & Image Analytics: Implement and operate image analytics pipelines for facial matching, object detection, scene understanding, and image similarity. This includes image preprocessing, feature extraction, model inference, evaluation, and performance optimization.

  • Geospatial & Location Inference from Imagery: Contribute to capabilities that infer location, context, or environmental attributes from imagery using visual cues, metadata, and learned representations. This includes supporting image-based geolocation, landmark recognition, and contextual scene analysis.

  • Multi-Modal AI & Image Search: Support multimodal AI systems that combine vision models with Language Models (LLMs), embeddings, and retrieval pipelines to enable natural-language search and reasoning over images and image collections. This involves helping 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

  • 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

  • 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

  • Health Benefits: Babel Street covers 85-100% monthly premium costs for Medical, Dental, Vision, Life & Disability insurances – for you and your family!

  • Retail 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.

Equal Opportunity Employer

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. 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.

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