
Director, AI/ML Engineering - Remote
- Bellevue, WA
- $132,200-226,600 per year
- Permanent
- Full-time
- Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone
- Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development
- Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world’s top universities
- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale and complexity
- Lead the team in bringing the ML models built by the OptumAI team to production with high scalability, reliability, availability, performance, and cost efficiency
- Contribute to our org-wide product ideation in collaboration with other engineering leaders, engineers, scientist, product managers, and SMEs
- Maintain hands-on involvement in key AI projects, actively contributing to code, model development, and technical solutions
- Drive innovation through research and adoption of cutting-edge AI technologies and methodologies
- Personally design, develop, and implement AI and machine learning models using deep learning algorithms and deep understanding of agentic approaches
- Collaborate with cross-functional leadership to translate business needs into AI strategy
- Collaborate with team leads in the deployment and maintenance of AI models in production
- environments, ensuring scalability, reliability, and cost-effectiveness
- 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 GenAI approaches
- Mentor and help recruit AI/ML scientists and machine learning engineers to the team
- A PhD in AI, computer science, data science, applied math or related technical fields
- 8+ 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
- Hands-on experience with machine learning libraries and frameworks
- Experience with modern AI tools, frameworks, and methodologies
- 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
- Comprehensive knowledge of statistical methods, machine learning algorithms, and AI principles
- In-depth knowledge in Generative AI, Large Language Models (LLM) and Agentic technology
- Solid and current programming skills in Python or other relevant programming languages
- Experience in AI/ML in the healthcare and or Fintech sector
- Experience in establishing AI/ML best practices, standards, and ethics