Senior AI/ML Applied Scientist - Remote
About The Position
Optum Tech is a global leader in health care innovation, developing cutting-edge solutions to improve health and the healthcare system. Optum AI is UnitedHealth Group’s enterprise AI team, focused on developing AI/ML solutions for high-impact opportunities across UnitedHealth Group businesses. The team works on transforming the healthcare journey through responsible AI/ML innovation and developing an enterprise AI/ML development platform. Team members have the opportunity to make an impact at scale, work on ground-breaking projects involving cutting-edge ML, NLP, and LLM techniques, and collaborate with world-class experts, potentially leading to patents and publications.
Requirements
- PhD in Statistics, Mathematics, Computer Science or related field
- 3+ years of AI/ML experience (LLM, NLP)
- Experience with LLM frameworks and/or NLP approaches such as text embedding and text classification
- 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
- All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy
Nice To Haves
- 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
Responsibilities
- 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
Benefits
- Comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
