Lead AI/ML Applied Scientist - Remote

UnitedHealth Group•Eden Prairie, MN

20h•$112,700 - $193,200•Remote

About The Position

Optum AI is UnitedHealth Group’s enterprise AI team, comprised of AI/ML scientists and engineers with deep expertise in AI/ML engineering for healthcare. We develop AI/ML solutions for high-impact opportunities across UnitedHealth Group businesses, including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. Our charter includes transforming the healthcare journey through responsible AI/ML innovation and developing/supporting an enterprise AI/ML development platform. Team members have the opportunity to make an impact at scale due to the data and resources available. Many current projects involve cutting-edge ML, NLP, and LLM techniques, with continuous development and improvement of Generative AI methods for structured and unstructured healthcare data. We collaborate with world-class experts and top universities, with opportunities to file patents and publish papers.

Requirements

PhD in Statistics, Mathematics, Computer Science or related field
5+ years of AI/ML experience (LLM, NLP)
5+ years of experience with Python, classical ML methods and deep learning, including deep learning frameworks such as PyTorch or Tensorflow
Proven publication track record in top ML/NLP conferences/journals

Nice To Haves

Experience with LLM frameworks and/or NLP approaches such as text embedding and text classification
Experience with distributed computing approaches such as Spark
Experience with Snowflake and other relational databases
Experience working on collaborative software projects using GitHub
Proven solid technical communication skills

Responsibilities

Develop novel AI approaches for healthcare using both structured and unstructured data
Build and test deep learning and traditional ML models in distributed computing environments
Design and plan experiments, conduct statistical analysis and create data visualizations
Communicate findings with business stakeholders and collaborate to develop solutions that meet customer needs
Collaborate with the Responsible Use of AI (RUAI) team to ensure that the delivered solutions are compliant with company policies and standards
Develop code and model documentation, patents and publications in scientific conferences and journals
Collaborate with engineering teams to develop robust data pipelines of MLOps procedures for new solutions
Stay up to date with latest technologies and literature