Senior AI/ML Applied Scientist - Remote

UnitedHealth GroupBellevue, WA
$130,000 - $162,500Remote

About The Position

Optum Tech is a global leader in health care innovation, developing cutting-edge solutions to help people live healthier lives and make the health system work better for everyone. Optum AI is UnitedHealth Group’s enterprise AI team, comprised of AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for high-impact opportunities across UnitedHealth Group businesses and are responsible for developing and supporting an enterprise AI/ML development platform. Our 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. We are working in one of the most important frontiers of AI/ML research and development.

Requirements

  • Master degree in computer science or related quantitative field
  • 5+ years of experience using ML to solve problems in natural language processing (NLP), multimodal RT processing, and/or other AI domains
  • 3+ years of DL frameworks such as PyTorch and/or TensorFlow
  • 3+ years of developing machine learning applications
  • 3+ years of experience in developing Responsible AI metrics, best practices and/or solutions
  • 3+ years of solid ML and RL research and developing experience

Nice To Haves

  • Ph.D. in Machine Learning with focus on NLP and/or GenAI
  • Experience with Advanced Deep Learning, applied math and statistics
  • Experience in fine-tuning LLMs and/or improving pre-train LLM’s performance
  • Solid technical and scientific knowledge in generative AI

Responsibilities

  • Developing and implementing models and methods that extend and improve LLM capabilities and reliability
  • Research, design and implement scalable machine learning models for real-time processing
  • Developing new solutions and science best practices in Responsible AI
  • Developing our research and innovation agenda
  • Defining the strategies, priorities, and metrics for technical progress in Deep Learning, RAG and LLMs
  • Collaborating with the Optum AI team and fellow scientist and engineers
  • Driving adoption of new science and best practices among service teams

Benefits

  • Comprehensive benefits package
  • Incentive and recognition programs
  • Equity stock purchase
  • 401k contribution
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