Top Healthtech Machine Learning Engineer Jobs

The Staff Machine Learning Engineer will develop machine learning models to enhance advertising strategies, improving relevance, ranking and customer engagement for Chewy's sponsored ads.

Develop and evaluate novel AI/ML solutions for healthcare using structured and unstructured data. Build deep learning and classical ML models, design experiments, analyze results, document models, collaborate on MLOps pipelines, and ensure responsible AI compliance with stakeholders.

Design, develop, and deliver machine learning models for clinical data. Collaborate with stakeholders and optimize production ML systems.

As a Senior Machine Learning Engineer, you will design and build ML models for patient-provider matching, focusing on personalization and ranking. Responsibilities include model development, A/B testing, and collaborating across teams to improve patient experiences.

The Staff Machine Learning Engineer will architect and optimize data infrastructure for multimodal AI models in oncology, focusing on data management and processing pipelines.

Lead the ML organization, define strategic direction, deliver personalized member experiences, and partner with cross-functional teams to integrate ML solutions across Thrive Market's platform.

Lead the machine learning strategy, design scalable ML systems, drive MLOps, mentor engineers, and comply with AI governance.

The role involves developing AI/ML models for bioprocesses, optimizing cell culture for recombinant protein production, and conducting experiments for model validation.

Develop and scale machine learning systems to enable AI coaching, collaborate across teams for member insights, and contribute to architectural decisions.

Lead the development of machine learning systems for Cedar Pay's Personalization Engine, manage ML engineers, and ensure ML model effectiveness.