Top Healthtech Machine Learning Engineer Jobs

As an Applied Machine Learning Engineer, you will develop AI and ML models to improve healthcare outcomes. Collaborate with teams to implement and optimize machine learning techniques and algorithms.

Develop ML force fields for materials science, manage data sets, extend ML field accuracy, and collaborate within an interdisciplinary team.

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 design, delivery, and scaling of AI-driven forecasting products (demand, inventory, GTN). Own product roadmap, model lifecycle, MLOps, governance, and explainability. Partner with Finance, Commercial, Supply, and BI&T to embed forecasts into portfolio planning, scenario analysis, and launch readiness. Build cross-functional teams, manage vendors, and drive adoption, monitoring, and continuous improvement.

The Senior Manager will develop and deploy machine learning pipelines to enhance clinical trial operations, ensuring AI integration into business processes while managing stakeholder engagement and AI product lifecycles.

The Staff Machine Learning Engineer will lead ML initiatives, develop AI systems, optimize pipelines, and mentor team members to automate healthcare processes.

Machine Learning Engineers will apply machine learning techniques to enhance products and services by developing, implementing, and optimizing machine learning models in collaboration with cross-functional teams.

The Sr Engineer, AI & ML designs and develops algorithms and models for health monitoring devices, utilizing advanced ML techniques and data analysis to improve medical technology and diagnostics.

The AI/Machine Learning Engineer II designs and develops models to analyze health data, ensuring efficient deployment in Masimo products.

The Sr Engineer will design and develop AI and ML models for health monitoring devices, analyze data, and implement algorithms for biomedical signal processing.

Lead development and integration of AI/ML approaches for drug discovery, partnering with chemists and biologists to drive Go/No-Go decisions, create active learning cycles, mentor staff, and evaluate external technologies to improve ADMET and lead optimization outcomes.

The position involves developing predictive models for ADMET and PK/PD, enabling biotech partners through clear model outputs, and mentoring junior scientists.

Design and optimize machine learning platforms for heart disease diagnosis, ensuring compliance and scalability within healthcare regulations. Lead the integration of innovative ML systems and workflows to enhance operational efficiency and clinical outcomes.