Senior Software Engineer, Computer Vision
Clarium · United States · 1 mo ago
RemoteRemoteEngineering$170k–$210k/yrFull-time
The Opportunity
Clarium builds computer vision pipelines that extract structured data from clinical images under real-world conditions. This role owns the end-to-end pipeline: object detection, identification, reconciliation, and data extraction from images captured under variable lighting, camera angles, and workflow conditions with zero tolerance for errors.
You’ll Own
- Design and build production-ready CV pipelines that combine state-of-the-art object detection models, multimodal LLM/LVM APIs, and barcode/label decoding to produce structured, auditable inventory data that clinical and supply chain workflows depend on.
- 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.
Required
- 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 Have
- OCR pipelines for label/packaging text extraction
- 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)
Skills & Tools
- Python, PyTorch
- FastAPI
- Pydantic v2
- PostgreSQL
- Multimodal LLM APIs
- Image preprocessing
- Barcode / QR decoding, OCR pipelines
What You Get
- Target Base Salary Range: $170K - $210K
- Equity
- Full range of medical and/or other benefits
- 401K
- Opportunity to build on a strong foundational team