[Hiring] Senior Research Scientist, AI & Workforce Intelligence @Wonderlic

Role Description

Wonderlic is seeking a Senior Research Scientist to sit at the precise intersection of I-O psychology and machine learning. This role is for someone who has spent time building real systems with real data and cares deeply about what those systems are predicting.

Your work will directly determine the quality, defensibility, and reach of the inferences our platform makes about jobs and people, which drive hiring decisions, development plans, and coaching conversations for millions of users.

What You’ll Do

• Lead the Continued Development of the Jobs Engine:
  • Own the architecture, integrity, and continuous expansion of Wonderlic’s AI job analysis system.
  • Build and refine models that make inferences about work content from unstructured text.
  • Ensure all outputs are scientifically defensible and scalable as the nature of work evolves.
• 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.
  • Serve as an internal resource on what ML and AI can and cannot do in assessment and organizational contexts.
• Drive Scientific Rigor:
  • Apply I-O psychology principles to every system you build.
  • Ensure that Wonderlic’s AI products meet professional and legal standards for selection and development tools.

What Success Looks Like

• In your first six months, you will have a deep understanding of the jobs engine architecture and shipped at least one meaningful improvement.
• Within a year, you will have materially expanded the jobs engine’s reach and accuracy.
• The long-term marker of success is a jobs engine that provides defensible, scaled job analysis inference across millions of roles.

Qualifications

• 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.
• Experience applying modern NLP methods to behavioral, assessment-based, or labor market data.
• Minimum 3 years of applied industry experience; 5+ years preferred.

Requirements

• Applied NLP and ML engineering skills: embeddings, semantic search, clustering, text classification, transformer architectures.
• Occupational data modeling: job titles, task statements, skills, competencies, credentials.
• Responsible AI judgment in employment contexts: fairness, explainability, auditability, bias mitigation.
• Generative AI evaluation skills: rubric-based review, groundedness checks, error analysis.
• Ability to own ambiguous, high-complexity problems.

Benefits

• Remote-First Flexibility: Work from anywhere in the United States.
• A Four-Day Workweek: Enjoy a full-time schedule of just 32 hours across four days.
• Meaningful Time Off: Generous PTO, paid holidays, and a paid company shutdown from December 24 through January 1.
• Comprehensive Benefits: Medical, dental, and vision coverage, a 401(k) with company matching, and 10 weeks of paid new parent leave.
• Well-Being That Matters: A dedicated wellness benefit to support your overall well-being.

Compensation

$130,000 to $150,000 based on experience and expertise.

Our Policy

Wonderlic is proud to be an equal employment opportunity/affirmative action employer. We encourage all interested candidates to apply.