Job Description:

• 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.

Requirements:

• 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

Benefits:

• 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