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.

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.

Image & Computer Vision AI Engineer

Key skills