Senior AI/ML Applied Scientist - Remote

UnitedHealth Group•Bellevue, WA

4d•Remote

About The Position

Optum Tech is a global leader in health care innovation, developing cutting-edge solutions to help people live healthier lives and make the health system work better for everyone. Optum AI is UnitedHealth Group’s enterprise AI team, comprised of AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for high-impact opportunities across UnitedHealth Group businesses and are responsible for developing and supporting an enterprise AI/ML development platform. Our team members have the opportunity to make an impact at scale, do ground-breaking work with cutting-edge ML, NLP, and LLM techniques, and partner with world-class experts on innovative solutions, potentially leading to patents and publications. We are working on one of the most important frontiers of AI/ML research and development, including Generative AI methods for structured and unstructured health care data.

Requirements

Ph.D. in Machine Learning with focus on NLP and/or GenAI or a Master degree in computer science or related quantitative field
5+ years of experience using ML to solve problems in natural language processing (NLP), multimodal RT processing, and/or other AI domains
3+ years of experience in Generative AI, grounding architectures, fine-tuning LLMs and/or improving pre-train LLM’s performance
3+ years of DL frameworks such as PyTorch and/or TensorFlow
3+ years of developing machine learning applications
3+ years of solid NLP research and developing experience

Nice To Haves

Experience with Advanced Deep Learning, applied math and statistics
Experience developing and refining graph science methods and LLMs
Experience developing agentic frameworks to empower autonomous agent
Proven solid technical and scientific knowledge about generative AI

Responsibilities

Developing and implementing models and methods that extend and improve LLM capabilities and reliability
Research, design and implement scalable machine learning models for real-time processing
Developing new solutions and science best practices in Responsible AI
Developing our research and innovation agenda
Defining the strategies, priorities, and metrics for technical progress in Deep Learning, RAG and LLMs
Collaborating with the Optum AI team and fellow scientist and engineers
Driving adoption of new science and best practices among service teams