Senior AI​/ML Engineer - Remote

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.

• 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 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 follow best coding practices with Python packages, etc. along with the use of Git Hub
• Create and present presentations in the form of presentations and written documents of analysis results to Optum AI and business leaders

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.

• 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
• Demonst…