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Senior Research Scientist, AI & Workforce Intelligence

Jobgether • United States
Remote
This Job is No Longer Active This position is no longer accepting applications

Lead the design and evolution of AI-driven workforce intelligence systems, combining scientific rigor with production-grade ML engineering. Contribute to systems that influence hiring, development, and talent decisions at scale. Work closely with product, engineering, and IO psychology experts.

Key Highlights
Design and evolve AI-driven workforce intelligence systems
Contribute to systems influencing hiring, development, and talent decisions
Collaborate with product, engineering, and IO psychology experts
Key Responsibilities
Lead the design and evolution of AI-driven workforce intelligence systems
Operate at the intersection of research, applied machine learning, and organizational psychology
Develop and refine ML/NLP models for extracting job, skill, and task insights from unstructured data
Technical Skills Required
Machine Learning NLP Industrial-Organizational Psychology Transformer Models Embeddings Clustering Classification Semantic Modeling
Benefits & Perks
Fully remote work within the United States
4-day work week supporting work-life balance
Competitive compensation package ($95,000-$110,000)
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

Job Description

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.
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