Company
Technology
SeniorResearchScientist,AI&WorkforceIntelligence
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Research Scientist, AI & Workforce Intelligence. Skills: Machine learning, NLP, Organizational psychology, Responsible AI. Lead design and evolution of AI-driven workforce intelligence. Ensure scientific rigor and production reliability”
Industry & Context.
Navigate ambiguous, cross-disciplinary problems
What They're Looking For.
Must Have
5+ years applied experience in ML/NLP, Graduate degree in Industrial-Organizational Psychology, Organizational Psychology, or related quantitative field, Experience working with labor market or occupational data, Deep understanding of IO psychology concepts, Proven ability to build and ship scalable ML systems, Judgment in responsible AI
Nice to Have
PhD preferred, Transformer models experience, Embeddings experience, Clustering experience, Classification experience, Semantic modeling experience
What You'll Do.
Lead design and evolution of AI-driven workforce intelligence
Ensure scientific rigor and production reliability
Operate at intersection of research
Build scalable job analysis and assessment systems
Own and advance large-scale job analysis systems
Ingest and structure labor market data
Develop and refine ML/NLP models
Ensure scientific defensibility of outputs
Partner with product and engineering teams
Translate research requirements into scalable AI systems
Evaluate and improve model performance
Define standards for responsible AI usage
Contribute to system architecture decisions
Act as internal subject matter expert
How You'll Work.
Team & Collaboration
Product and engineering teams
Communication Scope
Translate complex scientific concepts
Full Job Description
## Accountabilities Lead the design and evolution of AI-driven workforce intelligence systems while ensuring scientific rigor and production reliability. You will operate at the intersection of research, applied machine learning, and organizational psychology to build scalable job analysis and assessment systems. Own and advance large-scale job analysis systems that ingest and structure labor market data from multiple sources Develop and refine ML/NLP models for extracting job, skill, and task insights from unstructured data Ensure scientific defensibility of all outputs using IO psychology principles, including fairness, validity, and bias considerations Partner with product and engineering teams to translate research requirements into scalable AI systems Evaluate and improve model performance using robust experimentation, validation, and error analysis frameworks Define standards for responsible AI usage in assessment, selection, and workforce development contexts Contribute to system architecture decisions that balance scalability, interpretability, and accuracy Act as an internal subject matter expert on workforce analytics, occupational modeling, and AI application in HR contexts Requirements Experienced applied scientist with strong expertise across machine learning, NLP, and industrial-organizational psychology, capable of bridging rigorous research and production systems. Graduate degree in Industrial-Organizational Psychology, Organizational Psychology, or related quantitative field (PhD preferred) 5+ years of applied experience in ML/NLP, ideally in production environments Strong hands-on experience with transformer models, embeddings, clustering, classification, and semantic modeling Experience working with labor market or occupational data (e.g., job taxonomies, skills frameworks, or similar structures) Deep understanding of IO psychology concepts such as validity, adverse impact, norming, and assessment design Proven ability to build and ship scalable M
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