Sr AI/ML Scientist - Remote
Role details
Job location
Tech stack
Job description
- Develop novel AI strategies to drive complex healthcare solutions by building machine learning, deep learning, and Generative AI models using cutting-edge methods
- Research, design, and implement scalable innovative machine learning models to support production processes, including processing and transforming source data for machine learning pipelines in cloud environments
- Evaluate emerging trends to inform solution design and drive strategic innovation across the enterprise
- Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on the responsible and ethical use of AI
- Collaborate with research, engineering, and product teams to translate cutting-edge AI advancements into scalable, production-ready capabilities that can be re-used by the enterprise
- Collaborate with cross-functional teams to determine the applicability of AI to specific business problems
- Demonstrate self-driven initiative by taking ownership of projects and creating end-to-end solutions
- Develop comprehensive model and code documentations, as well as publications and patents for scientific journals and conferences
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Requirements
- PhD in Computer Science, Machine Learning, or a related quantitative field
- 3+ years of experience using machine learning to solve problems in natural language processing (NLP), generative AI, architecture design, prompt engineering, RAG, and fine-tuning LLMs
- 3+ years of experience with deep learning frameworks such as PyTorch and TensorFlow
- Record of publications in prominent research journals and conferences
Preferred Qualifications:
- Familiarity with advanced document parsing methods
- Experience in developing and maintaining end-to-end ML pipelines
- Ability to mentor other researchers and engineers in AI/ML advancements
- Experience collaborating with academic researchers on innovative solutions
- Familiarity with healthcare data sets and specific industry challenges
*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Benefits & conditions
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.