Senior/Staff Machine Learning Engineer (Tech Lead, Model Dev)

Artera seeks an experienced machine learning engineer to lead end-to-end development of AI biomarkers for cancer care, from clinical problem definition through regulatory submission and deployment. The role involves advancing foundation models for pathology data analysis while tackling cross-cutting challenges in model robustness and interpretability.

Responsibilities

• Own complete biomarker development lifecycle from clinical problem definition to production deployment
• Develop and validate machine learning models using clinical and pathology data
• Address robustness challenges across different imaging scanners and clinical sites
• Advance mechanistic interpretability of model predictions for regulatory and clinical use
• Collaborate with clinical partners and biostatisticians on model validation and insights

Requirements

• Extensive experience developing and validating machine learning models in production
• Strong foundation in deep learning and computer vision techniques
• Demonstrated ability to collaborate with clinical, biostatistics, and regulatory teams
• Experience with medical imaging data or healthcare AI applications
• Understanding of regulatory requirements for AI/ML in healthcare
• Proficiency in model interpretability and robustness assessment methods