Sr AI/ML Scientist - Remote
Eden Prairie, Hennepin County, Minnesota, 55344, USA
Listed on 2026-02-24
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives.
Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.
Optum AI is United Health Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across United Health Group businesses including United Healthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform.
OptumAI team members
- Have impact at scale:
We have the data and resources to make an impact n our solutions are deployed, they have the potential to make health care system work better for everyone - Do ground-breaking work:
Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development - Partner with world‑class experts on innovative solutions:
Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world's top universities
You’ll enjoy the flexibility to work remotely
* from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
- 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
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.
Required Qualifications- PhD in Statistics, Mathematics, Computer Science or related field
- 3+ years of AI/ML experience (LLM, NLP)
- 3+ 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
- 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 Git Hub
- Proven solid technical communication skills
* All employees working remote will be required to adhere to United Health Group’s Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive…
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