Note: The job is a remote job and is open to candidates in USA. UnitedHealth Group’s Optum AI team develops responsible AI and machine learning solutions and supports an enterprise AI/ML development platform for health care. The Lead AI/ML Applied Scientist will build, analyze, validate, optimize, and deploy machine learning models for healthcare data, conduct experiments and research, mentor team members, and present findings to leadership.
Responsibilities
- Build Machine Learning models, perform proof-of-concept, experiment, optimize, and deploy your 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
Skills
- PhD in AI, computer science, data science, applied math or related technical fields
- 10+ years of industry/academic experience in machine learning or a related field
- 5+ years of building models for business application experience
- 5+ years of Python programming skills and experience with deep learning frameworks such as PyTorch or TensorFlow
- Advanced understanding of Deep Learning with applications in Speech Processing, NLP and multimodal modeling
- 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: 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
- Flexibility to work remotely from anywhere within the U.S.
- A comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution
- Opportunity to file patents and publish papers about the methods we develop
- Collaborate with AI/ML researchers at some of the world's top universities
- Development for other roles you may be interested in
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