Top Healthtech Machine Learning Engineer Jobs in New York City, NY

Develop and test deep learning and traditional ML models, create ML pipelines, analyze data, and communicate results with stakeholders.

As a Senior AI Engineer, you will enhance AI models for fall detection, manage ML systems, and develop data pipelines, ensuring high accuracy and deployment.

Lead experimentation, develop predictive models, and guide product strategies to improve user onboarding and retention in therapy applications.

The Senior Machine Learning Engineer will lead technical strategy, build and maintain ML systems, and enhance engineering practices while ensuring data security and compliance.

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.

Design and conduct advanced data analyses and develop machine learning models for mental health research, working with large datasets and multimodal methods.

As a Machine Learning Engineer, you will perform analysis on healthcare data, develop and deploy clinical machine learning models, and collaborate with various stakeholders.

Build and optimize machine learning models for 3D dental applications, research state-of-the-art methods, and implement MLOps best practices.

Lead and mentor ML engineers and data scientists, overseeing ML strategy and development of scalable models for healthcare applications.