Machine Learning Research Intern at Bell Labs collaborating with scientists on innovative machine learning research and thesis projects in AI and telecommunications.
About the role
- Senior Machine Learning Engineer developing and coaching AI solutions for life insurance operations. Architecting systems and partnering with business units for effective implementation.
Responsibilities
- Develop and coach individual MLE’s.
- Architecting solutions to solve business problems.
- Partnering with Business Units to assess and implement vendor AI tools.
- Design and implement intelligent systems using Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI to enhance operational efficiency and decision-making.
- Develop AI agents that assist internal teams (e.g., Claims, Underwriting, Member Services) with tasks like summarization, document processing, and knowledge retrieval.
Requirements
- Bachelor’s degree in a quantitative discipline (Computer Science, Engineering, Statistics, etc.) or related field.
- 5+ years of hands-on experience developing and deploying machine learning models in production.
- Experience working with NLP and/or large language models (LLMs).
Benefits
- Flexible work arrangements
- Professional development opportunities
- Relocation assistance
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
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