Senior Research Scientist, AI & Workforce Intelligence

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Research Scientist, AI & Workforce Intelligence based in the United States.

This is a highly specialized research and applied science role sitting at the intersection of industrial-organizational psychology, machine learning, and real-world workforce intelligence systems. You will shape how large-scale labor market and assessment data is transformed into actionable, AI-driven insights about jobs, skills, and human potential. The role combines deep scientific rigor with production-grade ML engineering, ensuring that models are both technically robust and defensible in real-world employment contexts. You will contribute directly to systems that influence hiring, development, and talent decisions at scale. Working closely with product, engineering, and IO psychology experts, you will define how AI is responsibly applied to workforce understanding. The environment is highly collaborative, research-driven, and focused on building meaningful, high-impact systems that connect people with better work outcomes.

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 ML systems, not limited to research prototypes
• Strong judgment in responsible AI, including fairness, explainability, and auditability in employment contexts
• Ability to navigate ambiguous, cross-disciplinary problems involving both scientific and product constraints
• Excellent communication skills to translate complex scientific concepts into practical business and product decisions

Benefits

• Fully remote work within the United States
• 4-day work week supporting work-life balance
• Competitive compensation package (approximately $95,000–$110,000 depending on experience)
• Comprehensive health, dental, and vision insurance
• 401(k) retirement plan with employer match
• Generous paid time off and annual company shutdown period
• Paid parental leave and family support benefits
• Opportunity to work at the forefront of AI, workforce analytics, and applied psychology
• Strong culture of scientific rigor, innovation, and mission-driven impact