Hirevue is where hiring happens – transforming the way organizations discover, engage, and hire the best talent. Connecting companies and candidates anytime, anywhere, Hirevue’s end-to-end hiring platform features video interviewing, assessments and conversational AI. The industry leader in science backed, modern hiring solutions powered by ethical AI, Hirevue has hosted more than 70 million video interviews and 200 million chat-based candidate engagements for over 1200 pioneering customers around the globe.
As an Industrial/Organizational (I/O) Product Science Intern , you will support the research, design, and testing of new assessments and assessment-related product features.
You will work with Industrial/Organizational Psychologists and other internal teams to apply research within the Hirevue platform. Projects may include large language models, machine learning, simulations, conversational assessments, and other interactive assessment methods.
This is a six-month internship beginning in August or September, with the possibility of extension. This role is a part-time internship, not exceeding 20 hours per week and does not involve direct customer interaction.
Essential Duties and Responsibilities
Support the design, development, testing, and quality review of new assessments.
Apply Industrial/Organizational Psychology, research, and data analysis skills to product projects.
Assist with assessment content, scoring methods, prototypes, and AI-enabled features.
Review research on selection and emerging assessment technologies, and help translate findings into product features.
Support research on reliability, validity, fairness, subgroup differences, usability, and candidate experience.
Serve as an expert evaluator by reviewing and rating the quality, accuracy, and effectiveness of assessment tools and technology-generated outputs.
Collaborate with Industrial/Organizational Psychology, Product, and Data Science teams and share findings with technical and non-technical audiences.
Currently enrolled in a Ph.D. program in Industrial/Organizational Psychology or a related field preferred.
At least two years of graduate-level education in Industrial/Organizational Psychology or a related field preferred.
Knowledge of personnel selection, psychometrics, statistics, research methods, or assessment development.
Experience analyzing quantitative and qualitative data.
Experience with assessment development, validation, or evaluation is preferred.
Interest or experience in emerging assessment technologies, such as large language models, machine learning, natural language processing, prompt design, experimental design, or AI evaluation.
Knowledge of EEO requirements, fairness, and professional guidelines for employee selection.
All team members at Hirevue are expected to embody our core values, which are the H.E.A.R.T. of Hirevue. They are: Hero for our Customers, Enjoy the Journey, Always do the Right Thing, Reach Forwards, and Take Action and Go.
Hirevue takes security seriously and has measures in place to protect work-related data in a remote setting. Our organization has implemented a BYOD (Bring Your Own Device) policy, HireVue uses Google User Enrollment, which ensures personal apps and data are kept separate from work apps and data should you choose to use your personal device for work purposes. HireVue can manage only the work-related aspects of the device, ensuring privacy for personal data.
Hirevue is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other category protected under the law. HireVue is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation. All your information will be kept confidential according to EEO guidelines.
Hirevue is NOT currently hiring in:
AK, HI, IA, ME, MS, NM or WV.
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