Qritive is looking for a Senior AI Engineer / Research Scientist to build and deploy AI models for digital pathology, bridging cutting-edge research and real-world clinical deployment. You will own the full AI lifecycle from R&D to product, ensuring clinical and regulatory-grade development while providing technical leadership.
What You'll Do
- Build and deploy deep learning solutions for whole-slide image (WSI) analysis, including object detection, segmentation, and slide-level classification.
- Lead initiatives to enhance model accuracy, robustness, calibration, and interpretability, including developing explainability tools.
- Develop methods to address real-world variability in digital pathology, such as data drift and concept drift.
- Lead and manage the end-to-end AI lifecycle, from R&D to productization and clinical deployment.
- Design, execute, and analyze experiments to translate research into production assets, including training pipelines and evaluation frameworks.
- Develop and deliver production-ready model implementations, including model serving, performance monitoring, and continuous improvement workflows.
- Collaborate with software engineering to define and implement scalable deployment architectures (e.g., containerized services and APIs).
- Work with pathologists and clinical collaborators to define clinical assessment strategies and meaningful performance metrics.
- Contribute to validation planning and evidence generation consistent with clinical lab expectations (CAP/CLIA).
- Support quality system expectations for medical devices/IVDs.
- Promote industry best practices by leading code reviews, conducting technical assessments, and mentoring AI team members.
- Design, define, and contribute to the product/tech roadmap by incorporating industry trends and SOTA methodologies.
- Communicate clearly with multidisciplinary stakeholders (pathologists, product, regulatory, partnerships).
- Serve as a subject matter expert on emerging technologies in computer vision and computational pathology.
What We're Looking For
- A minimum of 6 years of experience (or equivalent) in developing deep learning-based computer vision systems.
- Demonstrated ownership of at least one production-grade deployment.
- Excellent proficiency in Python and PyTorch, with strong foundations in modern computer vision and machine learning.
- Strong software engineering practices: testable/maintainable code, code reviews, CI/CD, reproducibility, performance optimization.
- Proficiency in Linux-based and containerized development, with familiarity in model serving/monitoring in production.
- Proven ability to design rigorous evaluation frameworks that reflect real-world clinical use cases.
- Hands-on proficiency in leveraging cloud service providers (AWS, GCP, or Azure) for AI model deployments.
Nice to Have
- Minimum a Bachelor's degree (preferably Master's or PhD) in computer science, engineering, or a related discipline from an accredited institution.
- Prior medical imaging/digital pathology experience (especially WSIs) and familiarity with pathology workflows.
- Familiarity with computational pathology software (QuPath, CellProfiler, OpenSlide, etc.).
- Track record of publications and/or impactful applied research integrated into products.
- Demonstrated proficiency in MLOps (e.g., MLflow), including data-centric iteration and model drift monitoring.
- Experience with domain generalization, stain normalization, multi-scanner robustness, and quality control tooling for WSI.
- Familiarity with regulated product development constraints (risk management, traceability, documentation) in medical device/IVD contexts.
Technical Stack
- PyTorch
- OpenCV
- Scikit-learn
- Scikit-Image
- Pandas
- Tensorboard
- Git
- Docker
- Bash
Qritive is an equal opportunity employer.
