
Senior AI/ML Engineer - Remote
- Bellevue, WA
- $89,900-160,600 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
- Developing and implementing models and methods that extend and improve LLM capabilities and reliability
- Research, design and implement scalable machine learning models for real-time processing
- Developing new solutions and science best practices in Responsible AI
- Developing our research and innovation agenda
- Defining the strategies, priorities, and metrics for technical progress in Deep Learning, RAG and LLMs
- Collaborating with the Optum AI team and fellow scientist and engineers
- Driving adoption of new science and best practices among service teams
- Master degree in computer science, Machine Learning, statistics, engineering, mathematics, or another STEM discipline
- 5+ years of experience using ML to solve problems in natural language processing (NLP), multimodal RT processing, and/or other AI domains
- 3+ years of experience in Generative AI, grounding architectures, fine-tuning LLMs and/or improving pre-train LLM’s performance
- 3+ years of DL frameworks such as PyTorch and/or TensorFlow
- 3+ years of developing machine learning applications
- 3+ years of solid NLP research and developing experience
- Ph.D. in Machine Learning with focus on NLP and/or GenAI
- Proven solid technical and scientific knowledge about generative AI
- Experience with Advanced Deep Learning, applied math and statistics
- Experience developing and refining graph science methods and LLMs
- Experience developing agentic frameworks to empower autonomous agent