Senior AI/ML Engineer - Remote

UnitedHealth Group•Atlanta, GA

22h•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. 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.

Requirements

PhD in computer science or a related quantitative field
5+ years of machine learning and data science experience
3+ years of experience with Python, classical ML methods and deep learning (i.e. PyTorch or Tensorflow)
2+ years of experience leading projects with solid technical communication skills, including demonstrated technical leadership
2+ years of hands-on experience with NLP approaches such as text embedding and text classification, using and evaluating LLMs/generative AI models, RAGs, etc.
Experience with distributed training of GenAI models
Demonstrated research publications in top-tier AI conferences (preferably healthcare-focused)
Conducted independent research study leading to novel architecture/optimize technique, related to LLMs and SLMs
All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy

Responsibilities

Develop and implement AI and machine learning strategies to drive healthcare solutions, build and test machine learning and deep learning models
Implement and design novel machine learning, deep learning, and generative AI approaches inspired by relevant literature
Build robust machine learning pipelines to support production processes
Process and transform source data to be used in machine learning pipelines, leveraging cloud computing
Collaborate with cross-functional teams to determine applicability of AI to business problems
Design, plan, and prioritize experiments
Communicate findings with business stakeholders and collaborate to develop solutions that meet customer needs
Develop code and model documentation and assist with model governance approvals
Closely collaborate with the Responsible Use of AI (RUAI) team to ensure that the delivered solutions are compliant with the company policies and standards. Develop code and documentation to assist with model governance
Clearly document and following best coding practices with Python packages, etc. along with the use of GitHub
Create and present presentations in the form of presentations and written documents of analysis results to Optum AI and business leaders