
51 - 200 employees
Founded 1937
👥 HR Tech
🏢 Enterprise
HR Tech • Enterprise
Wonderlic is a company that provides pre-hire assessment and employee development tools designed to help businesses improve talent decisions across the entire employee journey. Their products, Wonderlic Select and Wonderlic Develop, offer predictive insights into cognitive ability, personality, and motivation, helping organizations make informed hiring decisions and boosting employee development. Wonderlic's platform is intuitive and scalable, aiming to eliminate bias and promote fairness in hiring and development processes. By providing role-specific, personalized results, Wonderlic supports HR teams, managers, employees, and candidates in achieving and identifying potential and excellence within workplace environments.
🕒 June 10
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51 - 200 employees
Founded 1937
👥 HR Tech
🏢 Enterprise
HR Tech • Enterprise
Wonderlic is a company that provides pre-hire assessment and employee development tools designed to help businesses improve talent decisions across the entire employee journey. Their products, Wonderlic Select and Wonderlic Develop, offer predictive insights into cognitive ability, personality, and motivation, helping organizations make informed hiring decisions and boosting employee development. Wonderlic's platform is intuitive and scalable, aiming to eliminate bias and promote fairness in hiring and development processes. By providing role-specific, personalized results, Wonderlic supports HR teams, managers, employees, and candidates in achieving and identifying potential and excellence within workplace environments.
• Lead the Continued Development of the Jobs Engine: Own the architecture, integrity, and continuous expansion of Wonderlic’s AI job analysis system, which ingests labor market data from O*NET, LinkedIn, Indeed, and other sources to extrapolate cognitive complexity ratings, norm groups, and occupational interest profiles for thousands of jobs. • Act as an Expert on AI Implementation Across the Organization: Partner with product managers, engineers, and I-O psychologists to translate scientific requirements into AI-powered systems and ensure those systems meet the standards the work demands. • Drive Scientific Rigor: Apply I-O psychology principles - adverse impact consideration, norm group construction, and evidence-based evaluation standards - to every system you build.
• Graduate degree in I-O Psychology, Organizational Psychology, Organizational Development, or closely related field (quantitative focus strongly preferred); doctoral degree a plus • Demonstrated ML engineering experience with shipped, production-grade systems - not just research or coursework • Experience applying modern NLP methods to behavioral, assessment-based, or labor market data • Track record of work that had to be both technically sound and legally/professionally defensible • Minimum 3 years of applied industry experience; 5+ years preferred • Experience at the intersection of I-O science and algorithmic fairness strongly preferred • Familiarity with occupational taxonomies, vocational interests, or cognitive ability frameworks a significant plus
• Work from anywhere in the United States • Four-day work week • Generous PTO plus a paid company shutdown from 12/24 to 1/1 • Benefits include medical, dental, vision, 401k with matching, paid new parent leave
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