Senior AI/ML Applied Scientist - 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.

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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.

• 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.

• Developing and implementing models and methods that extend and improve LLM capabilities and reliability
• Research, design and implement scalable machine learning models for real-time processing
• Developing new solutions and science best practices in Responsible AI
• Developing our research and innovation agenda
• Defining the strategies, priorities, and metrics for technical progress in Deep Learning, RAG and LLMs
• Collaborating with the Optum AI team and fellow scientist and engineers
• Driving adoption of new science and best practices among service teams

• Ph.D. in Machine Learning with focus on NLP and/or GenAI or a Master degree in computer science or related quantitative field
• 5+ years of experience using ML to solve problems in natural language processing (NLP), multimodal RT processing, and/or other AI domains
• 3+ years of experience in Generative AI, grounding architectures, fine-tuning LLMs and/or improving pre-train LLM's performance
• 3+ years of DL frameworks such as PyTorch and/or TensorFlow
• 3+ years of developing machine learning applications
• 3+ years of solid NLP research and developing experience

• Experience with Advanced Deep Learning, applied math and statistics
• Experience developing and refining graph science methods and LLMs
• Experience developing agentic frameworks to empower autonomous agent
• Proven solid technical and scientific knowledge about generative AI

*All employees working remotely will be required to adhere to UnitedHealth 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 and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements).

No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $130,000 to $162,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.