Optum AI is looking to develop and implement AI/ML solutions for the health care industry to improve health outcomes, connect people with care, and advance health equity. This involves developing and supporting an enterprise AI/ML development platform and creating cutting-edge ML, NLP, and LLM techniques for structured and unstructured health care data.
Requirements
- 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
- Proven solid technical and scientific knowledge about generative AI
- Experience with Advanced Deep Learning, applied math and statistics
Responsibilities
- 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
Other
- Master degree in computer science, Machine Learning, statistics, engineering, mathematics, or another STEM discipline
- Ph.D. in Machine Learning with focus on NLP and/or GenAI
- You'll enjoy the flexibility to work remotely from anywhere within the U.S.
- All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
- Candidates are required to pass a drug test before beginning employment.
