Machine Learning Engineer III (Applied Research & Model Development)

Overview In this role you design, develop, and deploy ML models for research and product development at PathAI. You will collaborate with biomedical data science, product, translational research, MLOps, and platform teams to translate biological and clinical requirements into scalable ML solutions. You contribute to experimental design, analysis, and knowledge sharing, while improving pipelines and governance with cross-functional partners. This is a patient-focused, mission-driven opportunity to impact diagnostic and treatment outcomes through AI in pathology. Compensation / Benefitsremote workcompetitive salaryequal opportunity employer ResponsibilitiesDesign, develop, and deploy ML models for research and product development projectsCollaborate cross-functionally with scientists, engineers, and product teams to translate requirements into scalable ML solutionsContribute to experimental design, ideation, documentation, and reportingParticipate in knowledge sharing activities (design reviews, journal clubs, best practices, governance)Improve ML pipelines and infrastructure in partnership with MLOps and platform teamsPublish and present scientific work (abstracts, manuscripts, conference contributions) Key requirementsProven track record of developing and deploying ML models into production or research applicationsProficient in Python, ML frameworks, and data pipeline developmentAbility to work independently and lead/contribute to experimental designAbility to collaborate across scientific and engineering teamsStrong interpersonal and communication skillsAbility to explain technical concepts to non-expertsThrives in ambiguous environmentsPythonML frameworksData pipeline development