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# Senior AI/ML Applied Scientist

- **Company:** Optum, Inc
- **Location:** Eden Prairie, MN, United States (Remote available)
- **Experience:** Expert
- **Salary:** $91,700.0 - $163,700.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Encodings, Relational Databases, Python (Programming Language), Machine Learning, Language Modeling, OpenAI, Azure Machine Learning, Computational Statistics, Large Language Models, Snowflake, Prompt Engineering, Agentic-AI, Information Technology, Transformer Architectures, Machine Learning Operations, Document Classification, GPT, Data Pipelines, Databricks
- **Published:** October 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=68eb2e1fe7edd3c6

## About the Role

* PhD in Statistics, Mathematics, Computer Science or related field
 * 3+ years of AI/ML experience (LLM, NLP)
 * Proficiency in AI/ML engineering development with Python
 * Expertise in Large Language Modeling and Transformer Architectures with experience in prompt engineering, evaluation, and LLM optimization
 * Experience with LLM frameworks and/or NLP approaches such as text embedding and text classification, * Experience with AI Cloud services like Azure ML, Databricks, Azure OpenAI, or similar services in GCP / AWS
 * Experience with Snowflake and other relational databases
 * Proven solid publication record in top tier AI/ML/NLP venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, CHIL, etc.)
 * Proven solid technical communication skills

*
All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.

## Description

* Apply advanced statistical, predictive modeling, and Agentic AI to optimize healthcare and digital experiences
 * Collaborate with the Responsible Use of AI (RUAI) team to ensure that the delivered solutions are compliant with company policies and standards
 * Research innovative approaches for developing and evaluating Agentic AI solutions, and apply these findings to the solutions you are creating
 * 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

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.