Lead AI/ML Engineer - Remote

UnitedHealth Group•Minnetonka, MN

2d•$145,500 - $249,500•Remote

About The Position

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. 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.

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 or financial 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
Drives Advanced Optimization (Annealing) initiatives