Director, AI/ML Engineering - Remote

UnitedHealth Group-posted 4 months ago
$132,200 - $226,600/Yr
Austin, TX
5,001-10,000 employees
Resume
Match Score
Upload and Match ResumeTrack Jobs with Teal

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.

  • 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
  • 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
  • Demonstrated 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
  • 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
  • Experience with model observability tools for insights into the behavior, performance, and health of your deployed ML models (tracking, alerting, compliance monitoring, etc.)
  • Working knowledge of Software Development tools and practices including DevOps and CI/CD tools (e.g., Git, Jenkins, Docker, Kubernetes, etc.)
  • Knowledge on security and vulnerability management (package scans, remediation)
  • Familiarity with data versioning tools (Delta Lake, DVC, LakeFS, etc.)
  • Comprehensive benefits package
  • Incentive and recognition programs
  • Equity stock purchase
  • 401k contribution
Track Jobs with Teal

Job Search Resources

•
Resume Builder
•
Resume Examples
•
Cover Letter Examples

Tools

Career Hubs

Guides

Company

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service