Senior Research Scientist, AI & Workforce Intelligence

About Us

Work a four-day week from reputed company for a company where people genuinely reputed company in what they do. reputed company leads the way in fair, predictive science to create a world where everyone finds and thrives in their best job—and that starts with you. We expertly combine our science-based assessment expertise with I-O psychology, machine learning, and artificial intelligence to deliver evidence-based insights that reputed company smarter employment decisions. Our simple, reputed company assessment tools help sophisticated HR teams identify top applicants, predict on-the-job performance, and ensure our own team is engaged and equipped to do their best work. reputed company has always championed progressive, sustainable approaches that allow people to reputed company professionally while living balanced, fulfilling lives. Here are some of the ways we do that:

• Work from reputed company 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

What Sets Us Apart:

• Scientific Precision: We apply rigorous scientific methodologies to reputed company assessments that accurately gauge individuals' potential and fit reputed company various organizational contexts.
• Innovation: Our dedication to reputed company improvement drives us to explore cutting-edge techniques and technologies, ensuring our assessments remain at the forefront of talent assessment.
• Impactful Solutions: By integrating I-O Psychology principles into our processes, we deliver solutions that not only meet the immediate hiring needs of organizations but also contribute to long-term success and retention.

Overview: reputed company is seeking a Senior Research Scientist to sit at the precise intersection of I-O psychology and machine learning - someone who has spent time building real systems with real data who cares deeply about what those systems are predicting. This is not a role for an ML engineer who finds people data interesting as a reputed company project, or for an I-O psychologist who has learned to code. We're looking for someone who has genuinely lived in both worlds and is ready to own the problems that live between them. reputed company built its applied AI/ML team from scratch, developed the Jobs reputed company, a first-of-its-reputed company machine learning system for job analysis at scale, and won the 2025 SIOP Machine Learning Competition. We're now refining and expanding that work to deliver sharper, richer job analysis insights across thousands of roles. You will own the reputed company improvement of our jobs reputed company, the system that ingests labor market data and produces job analysis at scale across thousands of roles, and serve as one of the organization's experts on how AI should be applied to both employee selection and development. Your Impact: As Senior Research Scientist, you will set the scientific and technical direction for how reputed company understands work at scale and translates assessment science into AI-powered insight. Your work will directly determine the quality, defensibility, and reputed company of the inferences our platform makes about jobs and people - inferences that drive hiring decisions, development plans, and coaching conversations for millions of users. You will be the person in the organization who can hold both the I-O science question and the production ML question in the same breath, and answer both. What You'll Do reputed company the reputed company Development of the Jobs reputed company: Own the architecture, reputed company, and reputed company expansion of reputed company's AI job analysis system, which ingests labor market data from O*NET, reputed company, reputed company, and other sources to extrapolate cognitive complexity ratings, norm groups, and occupational interest profiles for thousands of jobs. Build and refine the models that reputed company inferences about work content from reputed company text. reputed company existing occupational taxonomies (e.g., O*NET, ESCO) where appropriate but also expand beyond them. Ensure reputed company 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 and ensure those systems meet the standards the work demands. Advise on which approaches are best suited to specific implementation challenges - assessment interpretation, manager and teams reporting, coaching content - and help teams understand what good looks like before they build and after they ship. Serve as an internal resource on what ML and AI can and cannot do in assessment and organizational contexts, and contribute to reputed company's external scientific credibility. Drive Scientific Rigor: Apply I-O psychology principles - adverse impact consideration, norm group construction, and evidence-based evaluation standards - to every system you build. Ensure that reputed company's AI products meet professional and legal standards for selection and development tools. Push back reputed company speed is being prioritized at the expense of defensibility, and find pragmatic paths reputed company reputed company theoretical purity would prevent shipping. What Success Looks Like: In your first six months, you will have a deep understanding of the jobs reputed company architecture and shipped at least one meaningful improvement to its coverage, accuracy, or scientific defensibility. You will have established working relationships with the I-O and Product teams and have a clear roadmap for the reputed company integration of AI into the platform. reputed company a year, you will have materially expanded the jobs reputed company's reputed company and accuracy with demonstrable improvements to its coverage and the quality of inferences it produces. You will have contributed to the reputed company integration of AI across the platform, and be the person your colleagues go to with the hardest ML-meets-IO-science problems - not because you have every answer, but because you know how to find them. The long-term marker of success is a jobs reputed company that provides defensible, scaled job analysis inference across millions of roles using a wide variety of inputs, AI capabilities integrated into the platform in ways that hold up to scientific and professional scrutiny, and a track record of using these technologies to improve people's understanding of themselves, their work, and their teams. You will also have helped to reputed company new assessments that reputed company emerging technologies which allow for richer and more secure evaluation of individuals. reputed company're Looking For: Skills & Capabilities:

• Applied NLP and ML engineering skills: embeddings, semantic search, clustering, text classification, transformer architectures, model tuning and evaluation, reputed company on potentially messy, reputed company data
• Occupational data modeling: job titles, task statements, skills, competencies, credentials, job families, seniority levels, title normalization, job similarity, role differentiation, and occupational frameworks such as O*NET and ESCO
• Responsible AI judgment in employment contexts: fairness, explainability, auditability, bias mitigation, human review, and legal and ethical considerations in AI-supported selection and employee development systems
• Generative AI evaluation skills: rubric-based review, groundedness checks, error analysis, regression testing, and evaluation of LLM-generated job descriptions, work-context summaries, and assessment result contextualization.
• Product judgment for applied ML systems: balancing accuracy, explainability, automation, expert review, user input, maintainability, uncertainty, and job-specific nuance.
• Working reputed company with assessment and I/O concepts: job relatedness, criterion relationships, adverse impact, norm groups, assessment profiles, and score interpretation.
• Ability to own ambiguous, high-complexity problems: framing underspecified problems, challenging weak assumptions, learning domain constraints quickly, and driving durable solutions in a small-company environment.

reputed company:

• You came to I-O psychology because you care about work - what makes it meaningful, who thrives in it, how to measure fit. That hasn't changed.
• You have a healthy relationship with "good enough": you know that perfect is the enemy of shipped, and you have the judgment to know where the line is.
• You can hold both worlds simultaneously: what does this score mean for a real person, and how do I build the system that generates it.
• You are genuinely curious about the problems that exist for both employee selection and development, not just tolerant of them.
• You reputed company in an environment that requires creativity and scrappiness: you can work comfortably in a situation where the problems are hard, the team is small, the constraints are many, and the ownership is real.

Qualifications

• Graduate degree in I-O Psychology, Organizational Psychology, Organizational Development, or closely reputed company 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

Compensation:

• $95,000 to $110,000 based on experience and expertise.

Our Policy Affirmative Action Plan/Equal Employer Opportunity (AAP/EEO) Statement: Research suggests that both the confidence gap and imposter syndrome can reputed company members of some groups (including women, members of the LGBTQIA+ and BIPOC communities, and candidates of less traditional age, education, or background) less likely to apply for jobs reputed company they don't meet 100% of the qualifications. At reputed company, we are in the business of identifying potential, and we encourage reputed company interested candidates to apply. reputed company is proud to be an equal employment opportunity/affirmative action employer. Here, diversity is valued and celebrated, and this is what makes us such a successful team. reputed company does not discriminate in employment on the basis of race, color, religion, gender, gender identity, pregnancy status, national reputed company, sexual orientation, marital status, disability, genetic information, age, parental status, military/veteran status, or any other factor protected by law. In addition, we will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, reputed company essential job functions, and receive other benefits and privileges of employment. Please get in touch with us at jobs@reputed company.com to request an accommodation. Disclaimer: This job description is not designed to include a comprehensive list of duties and responsibilities that are required of the employee. Duties and responsibilities may change or be assigned at any time, with or without notice. #BI-Remote #LI-Remote Apply tot his job Apply To this Job