Top Healthtech Machine Learning Engineer Jobs

Lead end-to-end AI/ML projects: research, prototype, optimize, and productionize ML and LLM solutions for healthcare. Mentor and recruit teams, run experiments and A/B tests, present results to leadership, and pursue AI research and IP.

Lead development of AI/ML solutions for healthcare using structured and unstructured data. Build and test deep learning and classical ML models, design experiments, perform statistical analysis and visualizations, ensure responsible AI compliance, produce documentation/patents/publications, and collaborate on MLOps pipelines and stakeholder integrations.

Lead AI/ML engineering to design, build, and deploy predictive models and reusable ML platforms. Mentor scientists and engineers, collaborate cross-functionally, ensure responsible AI compliance, and publish or patent novel methods. Drive adoption of GenAI/LLM solutions and production-grade pipelines for healthcare use cases.

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

Develop and scale machine learning systems for physiological signal processing. Design and train models, ensure compliance, and mentor team members while collaborating with cross-functional teams.

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.

The role involves deploying ML models for ads, collaborating with teams to enhance solutions, and mentoring junior scientists, requiring advanced technical and communication skills.

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

The Staff Machine Learning Engineer will lead ML initiatives, develop ML systems, collaborate with cross-functional teams, and mentor junior engineers to optimize healthcare intake workflows using advanced machine learning techniques.

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.