Senior AI/ML Engineer - Remote

UnitedHealth Group Inc.•Seattle, WA

33d•Remote

About The Position

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. In healthcare, evolution doesn't just happen. It takes innovation, imagination, and a passion for solving problems in new and better ways. And innovation is taking place at a lightning-fast pace every day at Optum. As the fastest growing part of the UnitedHealth Group family of businesses, we're expanding our team and creating excellent opportunities for those who want greater purpose and more impact in their work. We'll provide the investment, support, and resources to advance your career. You'll provide the talent, ambition, and drive. As a Senior AI/ML Engineer, you will harness cutting-edge AI and machine learning technologies to enhance and transform current operations at Optum. This role is crucial for driving initiatives such as real-time settlement, medical chart processing, autonomous medical code generation, and medical image processing. You will collaborate closely with business and operations teams to understand their requirements and translate abstract concepts into practical AI solutions. Your contributions will play a vital role in significant AI initiatives that will positively impact healthcare systems. You will thrive in a challenging yet supportive environment that not only defines success for your current role but also offers opportunities for growth in areas of your interest. 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

Master's Degree (or higher) in Computer Science, Math/Statistics, Electrical Engineering, Industrial Engineering, Bioinformatics, or another technical field that provides mathematical training
2+ years in Data Science or AI/ML Engineering
2+ years of advanced level proficiency in at least one scripting language, such as Java, Python, SQL, PySpark, or C++
2+ years of advanced level proficiency with AI/ML technologies
2+ years of advanced level proficiency working with predictive analytics, NLP, image processing, Generative AI, or related technologies
1+ years of advanced level proficiency in analyzing business challenges and designing AI-driven solutions
Ability to be a fast learner and self-driven
Ability to work independently on complex AI projects

Nice To Haves

PhD in Computer Science, Math/Statistics, Electrical Engineering, Industrial Engineering, Bioinformatics, or another technical field that provides solid mathematical training
Hands-on experience with GenAI tools, LLMs (GPT, LLaMA, Gemini) and RAG pipelines
Ability to find AI solutions for undefined problems

Responsibilities

Leverage AI/ML technologies to transform and improve current Optum operations. This includes, but is not limited to, projects such as smart revenue management, intelligent payment platforms, medical chart processing, automated medical code generation, and medical image processing
Collaborate closely with business and operations teams to grasp the requirements and translate vague concepts into tangible AI solutions. Possess solid implementation skills to bring these solutions to life and work with engineering teams to build scalable, flexible product pipelines
Adapt to an agile, fast-paced environment, and maintain a passion for exploring and integrating cutting-edge AI technologies to support future projects
Your contributions will be recognized in a challenging yet supportive environment that not only defines success for your current role but also provides opportunities for development in areas you're interested in