Principal AI/ML Engineer - Remote

UnitedHealth Group•Austin, TX

4d•Remote

About The Position

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care’s most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? 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. 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. You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Requirements

PhD in AI, computer science, data science, applied math or related technical fields
10+ 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
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
Experience with LLM alignment (DPO, PPO among others)
Solid Python programming skills and experience with deep learning frameworks such as PyTorch or TensorFlow
In-depth knowledge in Generative AI technology and Large Language Models (LLM) with focus in LLM optimization
Advanced understanding of Deep Learning with applications in NLP and multimodal modeling

Nice To Haves

Experience in AI/ML in the healthcare and or Fintech sector
Experience working with cross-functional and distributed teams in a global and diverse environment
Experience in establishing AI/ML best practices, standards, and ethics

Responsibilities

Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale and complexity
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 machine learning approaches
Mentor and help recruit AI/ML scientists and machine learning engineers to the team
Present findings and insights to senior leadership and at internal venues
Be the thought leader in cutting-edge AI research and proactively pursue IP submissions