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Lead Research Scientist, AI
UL SolutionsLead Research Scientist in AI at UL Research Institutes focused on NLP and LLM safety. Directing research programs, and analyzing results to improve public safety in the AI field.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI test and evaluation research, particularly in Natural Language Processing (NLP) and Large Language Models (LLMs). Proven ability to lead research initiatives, secure funding, and analyze data to drive solutions.
Highest-signal resume keywords
PhD In Computer ScienceNLP Research ExperienceLLM Research ExperienceResearch Proposal DevelopmentAI/Software Engineering Expertise
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisAI Test And EvaluationResearch Program ManagementExperimental AnalysisDigital Safety Evaluation Tools
Soft Skills
Excellent CommunicationCollaboration
Industry Keywords
AI SystemsResearch FundingCompetitive ProposalsPublic Safety
About the role
Key responsibilities & impact- Formulate, design, and manage independent test and evaluation research programs to protect the public from AI systems harms
- Lead and contribute to the development of competitive research proposals
- Serve as a principal investigator for AI test and evaluation research programs in NLP and LLMs
- Analyze experimental results to determine causes of problems and develop solutions
- Plan, design, and execute research challenges using Digital Safety’s evaluation tools
Requirements
What you’ll need- PhD in computer Science with a focus on NLP or LLMs plus 6 or more years of directly related research experience
- Master’s degree in computer science with a focus on NLP or LLMs plus 8 or more years of directly related research experience
- Bachelor’s degree in computer science with a focus on NLP or LLMs plus 12 or more years of directly related research experience
- Expert knowledge of AI/software engineering disciplines
- Demonstrated experience to secure research funding through competitive proposal development
- Excellent communication skills
- Advanced AI/software engineering and data analysis skills
- Ability to collaborate effectively with research scientists, engineers, and external partners
Benefits
Comp & perks- Collaborative and scientific approaches with partners and stakeholders
- Opportunities for professional development
- Extensive outreach and education initiatives