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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.
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.
You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges.
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. Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. Primary Responsibilities
Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale and complexity Lead the team in bringing the ML models built by the OptumAI team to production with high scalability, reliability, availability, performance, and cost efficiency Contribute to our org-wide product ideation in collaboration with other engineering leaders, engineers, scientist, product managers, and SMEs Maintain hands-on involvement in key AI projects, actively contributing to code, model development, and technical solutions Drive innovation through research and adoption of cutting-edge AI technologies and methodologies Personally design, develop, and implement AI and machine learning models using deep learning algorithms and deep understanding of agentic approaches Collaborate with cross-functional leadership to translate business needs into AI strategy Collaborate with team leads in the deployment and maintenance of AI models in production environments, ensuring scalability, reliability, and cost-effectiveness Build Machine Learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing the ML models Perform hands-on analysis and modeling of healthcare data sets to develop insights that increase business value Run A/B experiments, gather data, and perform statistical analysis Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving Research and implement innovative GenAI approaches Mentor and help recruit AI/ML scientists and machine learning engineers to the team Required Qualifications
A PhD in AI, computer science, data science, applied math or related technical fields 8+ years of industry/academic experience in machine learning or a related field 5+ years of building models for business application experience 5+ years leading technical teams Hands-on experience with machine learning libraries and frameworks Experience with modern AI tools, frameworks, and methodologies Experienced mathematical background, especially in optimization theory, stochastic algorithms, and/or numerical methods Experience with state-of-the-art algorithms and topologies including, but not limited to: GNNs, GANs, Transformers, deep and wide, SSMs, LLMs among others Comprehensive knowledge of statistical methods, machine learning algorithms, and AI principles In-depth knowledge in Generative AI, Large Language Models (LLM) and Agentic technology Solid and current programming skills in Python or other relevant programming languages Preferred Qualifications
Experience in AI/ML in the healthcare and or Fintech sector Experience in establishing AI/ML best practices, standards, and ethics Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. The salary for this role will range from $132,200 to $226,600 annually based on full-time employment. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
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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. Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. Primary Responsibilities
Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale and complexity Lead the team in bringing the ML models built by the OptumAI team to production with high scalability, reliability, availability, performance, and cost efficiency Contribute to our org-wide product ideation in collaboration with other engineering leaders, engineers, scientist, product managers, and SMEs Maintain hands-on involvement in key AI projects, actively contributing to code, model development, and technical solutions Drive innovation through research and adoption of cutting-edge AI technologies and methodologies Personally design, develop, and implement AI and machine learning models using deep learning algorithms and deep understanding of agentic approaches Collaborate with cross-functional leadership to translate business needs into AI strategy Collaborate with team leads in the deployment and maintenance of AI models in production environments, ensuring scalability, reliability, and cost-effectiveness Build Machine Learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing the ML models Perform hands-on analysis and modeling of healthcare data sets to develop insights that increase business value Run A/B experiments, gather data, and perform statistical analysis Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving Research and implement innovative GenAI approaches Mentor and help recruit AI/ML scientists and machine learning engineers to the team Required Qualifications
A PhD in AI, computer science, data science, applied math or related technical fields 8+ years of industry/academic experience in machine learning or a related field 5+ years of building models for business application experience 5+ years leading technical teams Hands-on experience with machine learning libraries and frameworks Experience with modern AI tools, frameworks, and methodologies Experienced mathematical background, especially in optimization theory, stochastic algorithms, and/or numerical methods Experience with state-of-the-art algorithms and topologies including, but not limited to: GNNs, GANs, Transformers, deep and wide, SSMs, LLMs among others Comprehensive knowledge of statistical methods, machine learning algorithms, and AI principles In-depth knowledge in Generative AI, Large Language Models (LLM) and Agentic technology Solid and current programming skills in Python or other relevant programming languages Preferred Qualifications
Experience in AI/ML in the healthcare and or Fintech sector Experience in establishing AI/ML best practices, standards, and ethics Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. The salary for this role will range from $132,200 to $226,600 annually based on full-time employment. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
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