Top Healthtech Machine Learning Engineer Jobs

Lead development of machine learning models for drug discovery, integrating ML with molecular modeling to enhance molecular design and optimization approaches.

We're looking for a Research Engineer to develop ML infrastructure and data systems for medical imaging, focusing on building data pipelines and model deployment.

The Machine Learning Engineer will develop and deploy ML models for personalized health programs, optimize recommendation systems, and establish best practices for ML lifecycle management.

The Senior Product Engineer will design, build, and deploy AI workflows and growth infrastructure to enhance Cubby's operations and customer experience, driving measurable improvements and adoption across teams.

Lead a team of machine learning scientists to develop AI solutions utilizing large-scale healthcare datasets. Oversee project execution from concept to deployment.

As a Senior Machine Learning Engineer, you will design and implement systems for ML and NLP, optimizing models and tools for Clover's healthcare solutions.

As a Senior Software Engineer for AI Applications, you'll develop AI-native features, own backend systems, and ensure performance and safety in AI workflows.

As a Machine Learning Engineer, design and validate ML models, run experiments, collaborate with teams, and produce maintainable code in a clinical context.

Design, build, and deploy ML models on healthcare claims data to predict costs, detect fraud, stratify risk, and optimize provider performance. Collaborate with engineers, clinicians, and product teams to create scalable feature pipelines, validate models, and communicate insights to stakeholders.

Citizen Health seeks AI/Machine Learning Engineers to develop AI solutions for healthcare using advanced ML techniques, focusing on rare diseases and patient care. Responsibilities include designing ML models, optimizing LLMs, and ensuring compliance.