Senior AI/ML Scientist - Remote

UnitedHealth Group • Eden Prairie, MN

1d • Remote

About The Position

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 UnitedHealth 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 UnitedHealth Group businesses including UnitedHealthcare, 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.
Optum AI team members:
Have impact at scale: We have the data and resources to make an impact at scale. When 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.

Requirements

• MS in computer science or related quantitative field and 2+ years of industry/academic experience in AI/ML or a related field OR a PhD
• 3+ years of AI/ML experience
• 3+ years of experience with Python, classical ML methods and deep learning, including deep learning frameworks such as PyTorch or Tensorflow

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

Benefits

• In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements).
• The salary for this role will range from $91,700 to $163,700 annually based on full-time employment.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level