Director, AI/ML Applied Science - Remote
About The Position
Optum AI is UnitedHealth Group’s enterprise AI team, comprised of AI/ML scientists and engineers with deep expertise in AI/ML engineering for healthcare. We develop AI/ML solutions for high-impact opportunities across UnitedHealth Group businesses, including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. Our charter includes transforming the healthcare journey through responsible AI/ML innovation and developing/supporting an enterprise AI/ML development platform. Team members have the opportunity to make an impact at scale, do ground-breaking work with cutting-edge ML, NLP, and LLM techniques, and partner with world-class experts on innovative solutions, potentially leading to patents and publications. This role offers the flexibility to work remotely from anywhere within the U.S.
Requirements
- Masters degree in Computer Science, Math, Statistics, or a related field and 10+ years experience OR a PhD in Computer Science or a related field and 5+ years experience
- 3+ years experience focused on AI/ML/NLP solutions delivery
- 5+ years of experience experience leading and implementing AI/ML projects from ideation to delivery, evaluation, and maintenance in production
- Hands-on experience implementing AI/ML and/or NLP solutions
- Proven experience in Python and AI/ML frameworks and tools (e.g., MLFlow, TensorFLow, PyTorch)
- Experience developing and deploying data pipelines, machine learning models, or applications on cloud platforms (e.g., Azure, AWS, Databricks, AzureML)
- Experience with Gen AI solution pipelines (e.g., RAG) and Large Language Modeling and Transformer Architectures (e.g., BERT, GPT, etc.)
- Proven presentation experience with the ability to explain complex AI/ML concept and results to technical and non-technical audiences
- Proven understanding of mathematical foundations of machine learning, including statistics, linear algebra, and computer science
Nice To Haves
- PhD in Computer Science, Mathematics, Statistics, or a related discipline
- Experience in healthcare (AI)
- Experience working with cross-functional and distributed teams in a global and diverse environment
- Experience in establishing AI/ML best practices, standards, and ethics
- Working knowledge of Software Development tools and practices including DevOps and CI/CD tools (e.g., Git, Jenkins, Docker, Kubernetes, etc.)
- Security and vulnerability management (package scans, remediation)
- Familiarity with data versioning tools (Delta Lake, DVC, LakeFS, etc.)
- Experience with model observability tools for insights into the behavior, performance, and health of your deployed ML models (tracking, alerting, compliance monitoring, etc.)
Responsibilities
- Develop novel machine learning models for prediction of health outcomes and improved care, engagement models, and other applications from both structured and unstructured data
- Develop and execute the vision for engineering platforms, and reusable code that will be used by thousands of other engineers for automation and improved efficiency of AI/ML development
- Stay up to date with latest technologies and literature recommending solutions to improve business goals
- Mentor data scientists, AI/ML scientists, and engineers to ensure the delivery of the AI/ML projects, and provide guidance on how to best use specific tools or technologies to achieve the desired results
- Collaborate with cross-functional teams to determine applicability of AI to business problems
- Closely collaborate with the Responsible Use of AI (RUAI) team to ensure that the delivered solutions are compliant with the company policies and standards
- Write both internal and external documentation of the novel algorithms, including patents and publications in machine learning and other scientific conferences and journals as well and/or infrastructure design and deployment procedures
- Evangelize the benefits of the AI models and platforms built in our team to drive adoption for employees and functional roles across the UHG enterprise including technology, operations, marketing, legal, compliance, people team, internal infrastructure, and more
Benefits
- comprehensive benefits package
- incentive and recognition programs
- equity stock purchase
- 401k contribution
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What This Job Offers
Job Type
Full-time
Career Level
Director
