Lead AI\/ML Engineer - Remote

$104,700 - $190,400/Yr

Optum - Bellevue, WA

Full-time - Senior

Remote - Bellevue, WA

Insurance Carriers and Related Activities

About the position

The Lead AI/ML Engineer at Optum 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.

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