Senior Software Engineer, Computer Vision

Responsibilities

• Design, build, implement and optimize multi-stage CV pipelines spanning segmentation, object detection, multimodal LLM/LVM extraction, machine-readable code decoding, and multi-source reconciliation
• Train or fine-tune detection models on custom medical supply datasets
• Build and own dataset strategy — leverage augmentation and synthetic data generation to improve the training and testing datasets when data doesn’t exist
• Monitor and improve pipeline accuracy — instrument field-level metrics, diagnose failure modes, and systematically improve precision/recall through model iteration and preprocessing optimization
• Design persistence schemas and audit data models that make every extraction independently reviewable
• Maintain and extend the async Python backend services that surface pipeline results to downstream clinical workflows

Requirements

• 5+ years experience in computer vision and object detection
• Hands-on experience training and fine-tuning detection models
• Experience building OCR pipelines for label/packaging text extraction
• Strong Python skills with experience in OpenCV, image preprocessing, and augmentation techniques
• Production experience with multimodal LLM APIs for structured data extraction and validation
• Backend engineering: FastAPI, Pydantic v2, PostgreSQL, async Python

Nice-to-Haves

• Experience with barcode/QR/UDI decoding and preprocessing strategies that improve decode rates
• MLOps experience: Docker, CI/CD, model versioning, A/B testing
• Workflow orchestration tools (Temporal, Prefect, Airflow)
• Healthcare or supply chain domain experience
• Familiarity with medical device identification standards (UDI, GS1)