Lead AI/ML Engineer - Remote

$104,700 - $190,400/Yr

Optum - Duvall, WA

Full-time - Senior

Remote - Duvall, WA

Insurance Carriers and Related Activities

About the position

The position involves leading end-to-end Machine Learning projects within a global organization focused on improving health outcomes through technology. The role requires building and deploying machine learning models, conducting data analysis, and mentoring team members while contributing to innovative AI research. The candidate will work remotely and engage in a culture that values diversity, inclusion, and career development.

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.
• 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.

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