Senior AI/ML Applied Scientist - Remote

Eden Prairie, Minnesota (United States) Overview As part of Optum AI, you will pioneer AI/ML solutions for healthcare at scale, applying cutting-edge techniques to structured and unstructured data. You'll collaborate with cross-functional teams to translate business needs into robust, compliant AI systems and contribute to an enterprise AI/ML platform. You'll work on innovative, ground-breaking methods while shaping how AI drives measurable health outcomes. This role offers impact, growth, and the chance to advance responsible AI in a mission-driven environment. Compensation / Benefits comprehensive benefits package equity stock purchase 401k contribution telecommuter policy flexible work arrangements opportunity for professional development Responsibilities Develop novel AI approaches for healthcare using structured and unstructured data Build and assess agentic and generative AI systems, deep learning, and traditional ML models in distributed environments Design experiments, perform statistical analyses, and create data visualizations Communicate findings to business stakeholders and co-create customer-centered solutions Collaborate with the Responsible Use of AI (RUAI) team to ensure policy and standards compliance Produce code and model documentation, patents, and publications for conferences and journals Work with engineering teams to build robust data pipelines for MLOps, LLMOps, and Agentic Ops Stay current with latest technologies and literature Key requirements MS in computer science or related quantitative field with 2+ years of AI/ML experience OR PhD in computer science or related quantitative field focusing on AI/ML 2+ years of experience with Python and deep learning frameworks such as PyTorch or TensorFlow Strong technical communication skills experience with LLMs and agentic frameworks (preferred) experience with distributed computing (e.g., Spark) (preferred) experience with Snowflake and other relational databases (preferred) experience with GitHub and collaborative software projects (preferred) strong communication cross-functional collaboration ability to translate business needs into technical solutions LLMs agentic AI PyTorch