Lead AI/ML Engineer - Remote

$104,700 - $190,400/Yr

UnitedHealth Group - Arlington, VA

Full-time - Senior

Remote - Arlington, VA

Insurance Carriers and Related Activities

About the position

The Lead AI/ML Engineer at UnitedHealth Group is responsible for driving end-to-end machine learning projects that are complex and ambiguous. This role involves building and deploying machine learning models, performing hands-on analysis of healthcare datasets, and establishing automated processes for large-scale data analysis. The engineer will also mentor team members, present findings to senior leadership, and contribute to innovative AI research, all while working remotely from anywhere in the U.S.

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 models into production
• 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

Requirements

• PhD in AI, computer science, data science, applied math or related technical fields
• 7+ years of industry/academic experience in machine learning or a related field
• 5+ years of building models for business application experience
• Advanced understanding of Deep Learning with applications in Time series Processing, NLP and multimodal modeling
• Proven strong Python programming skills and experience with deep learning frameworks such as PyTorch or TensorFlow
• Experienced mathematical background, especially in optimization theory, stochastic algorithms, and/or numerical methods
• Experience with state-of-the-art algorithms and topologies including VAR, GNNs, GANs, Transformers, deep and wide, SSMs, LLMs among others
• Proven in-depth knowledge in Generative AI technology and Large Language Models (LLM)

Benefits

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