Principal AI/ML Engineer - Remote

Join Optum AI Team

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. 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.

Primary Responsibilities:

• Lead data science work conceptualizing, designing, developing, and maintaining AI/ML models for disease progression/patient engagement programs
• Meet with business partners to understand requirements and design solution(s) which work best for the problem
• Review AI/ML model ideas, engineering designs and offer ideas for new approaches
• Develop and evolve Data Science and Engineering roadmap for disease progression and patient engagement programs
• Raise the bar on excellence in execution in terms of quality, timeliness, and scalability
• Collaborate with counterparts in other Geographical locations to ensure smooth execution of critical projects across the board
• Recommend applicable technical patterns and solutions that are aligned with architectural guiding principles and standards through a regular cadence of delivery and continuous improvement initiatives
• Collaborate closely with Product and Capability Architects on aligning inferred Solutions and Enterprise architecture to granular technical patterns and solutions
• Govern technical debt and promote balance

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:

• MS degree in Computer Science or related field
• 7+ years of experience using computer languages (Python, SQL) to manipulate data and draw insights from large data sets, including cloud-based Databricks and Azure AI Services

Preferred Qualifications:

• Ph.D. in Computer Science or related field
• 10+ years of data science experience
• Knowledge of advanced statistical techniques and concepts and experience with applications
• Proven solid problem-solving skills with an emphasis on model development and engineering
• Proven outstanding communication skills both written and verbal
• Knowledge of a variety of machine learning techniques (clustering, decision trees, neural networks, graph ML, OCR, sentiment analysis, etc.) and their real-world advantages/drawbacks

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). The salary for this role will range from $164,615 to $282,197 annually based on full-time employment. We comply with all minimum wage laws as applicable.