Optum AI is looking to develop and implement AI/ML solutions for high-impact opportunities across UnitedHealth Group businesses to transform the healthcare journey through responsible AI/ML innovation and to develop and support an enterprise AI/ML development platform.
Requirements
- 3+ years of DL frameworks such as PyTorch and/or TensorFlow
- 2+ years of experience using ML to solve problems in natural language processing (NLP), multimodal RT processing, and/or other AI domains
- 2+ years of experience in Generative AI, grounding architectures, fine-tuning LLMs and/or improving pre-train LLM's performance
- 2+ years of experience developing machine learning applications
- 1+ years of solid agentic 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 solutions
- Developing new solutions and science best practices in Responsible AI
- Developing our research and innovation agenda
- Design, implement and deploy Deep Learning models, RAG and LLMs
- Collaborating with the Optum AI team and fellow scientist and engineers
Other
- You'll enjoy the flexibility to work remotely* from anywhere within the U.S. as you take on some tough challenges.
- For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
- 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.
- Qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
