People Research Scientist, Recruiting
Anthropic
CA$285,000 - CA$380,000 / year
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Description
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are seeking a Recruiting Research Scientist to join our People Data Solutions team. You’ll be the research expert supporting our Recruiting organization, using rigorous scientific methods to advance our understanding of recruiting funnels, interview effectiveness, candidate experience, and recruiting capacity. This role sits at the intersection of organizational science, behavioral research, and people strategy – developing novel frameworks and conducting systematic research that drives evidence-based people decisions across our growing organization.
This role offers the opportunity to make a significant impact on both our recruiting practices and the broader field of people science at a leading AI safety company.
Responsibilities
Research design & scientific inquiry
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Design and execute systematic research studies to answer fundamental questions about recruiting funnel health, assessment quality, candidate experience, and quality of hire
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Generate and test hypotheses about sourcing strategies, interview design, and selection decisions using rigorous experimental and quasi-experimental methods
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Conduct mixed-method research to understand what are the drivers and blockers to recruiting operations.
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Navigate research ethics considerations when studying candidate data, ensuring responsible research practices
Selection & assessment research
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Design and execute validation studies to assess the quality of interviews and other selection tools
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Utilize psychometric techniques to analyze and improve interviewer calibration and rating consistency
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Lead investigative research into innovative approaches for candidate assessment
Metrics design and governance
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Design the metrics framework for recruiting org health — defining the canonical KPIs, dimensions, and definitions that leadership uses to understand funnel performance, capacity, and hiring quality
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Establish the governance and definitional rigor that keeps metrics consistent across tools and reporting surfaces
Analytical solution building
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Architect analytical solutions that convert research insights into actionable products, empowering stakeholders to execute data-driven scenario and strategic planning
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Quantify the adoption and downstream impact of deployed tools, driving iterative improvements
Visualization & communication
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Build compelling visualizations and dashboards that make complex research findings accessible to diverse audiences
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Present research findings to senior leadership with clear, actionable recommendations
Minimum Qualifications:
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Hold an advanced degree (Master’s or PhD) in I/O Psychology, Organizational Behavior, Statistics, Data Science, Economics, Behavioral Science, or a related research field
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Have experience with selection research, assessment validation, psychometrics, or recruiting funnel analytics
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Are comfortable working in the People Analytics tech stack and collaborating with data engineers
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Are proficient in SQL and Python/R, with experience in statistical analysis and machine learning
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Have experience with data visualization and can tell compelling stories with research findings
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Possess excellent communication skills and can influence stakeholders at all levels
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Thrive in ambiguity and can balance rigor with pragmatism
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Have a track record of challenging assumptions with data and changing long-held practices
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Can navigate sensitive topics diplomatically while maintaining analytical rigor
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Demonstrate intellectual humility and comfort with iterative discovery
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Use data to improve how organizations find, assess, and hire talent
Preferred Qualifications:
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5 + years of experience in research, people analytics, or related quantitative fields with demonstrated research methodology expertise
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Background in recruiting analytics specifically (not just general analytics)
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Experience running interview or assessment validation studies
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Experience building self-service analytics tools or dashboards
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Previous experience in high-growth technology companies or AI/ML organizations
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Familiarity with network analysis, machine learning, or advanced statistical methods
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Experience with BigQuery and modern data stack tools
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Experience with Greenhouse, Gem, ModernLoop, or similar recruiting tools
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Benefits
- stock options
- parental leave
About this role
Anthropic's People Data Solutions team is building the scientific foundation for recruiting decisions at a rapidly scaling AI safety company. This role combines organizational science with rigorous empirical research to answer fundamental questions about hiring funnel health, interview effectiveness, and candidate experience. You'd design and execute systematic studies using experimental methods, develop psychometric validation frameworks for selection tools, and establish the metrics governance that leadership relies on to understand recruiting performance and quality of hire.
The work spans multiple dimensions: designing selection research and assessment validation studies, architecting the KPI framework for recruiting org health, and building analytical solutions that translate insights into actionable tools for stakeholders. You'll need to communicate complex findings to senior leadership, navigate the inherent tensions between analytical rigor and pragmatism, and handle sensitive candidate data responsibly. This is fundamentally about using data to challenge assumptions and change how the organization finds and assesses talent.
The role requires an advanced degree in I/O Psychology, Organizational Behavior, Statistics, Data Science, or a related field, plus hands-on proficiency in SQL, Python or R, and data visualization. Experience with selection research, psychometrics, or recruiting analytics is essential. The ideal candidate has spent five or more years in research or people analytics roles, ideally with specific recruiting analytics background and familiarity with assessment validation studies. The position is based in San Francisco with an expectation of in-office presence at least 25% of the time, and offers a salary range of $285,000–$380,000.
How this employer is doing
solid
- News: Recently Raised Funding
- Recently Raised Funding
In the news
Amazon 3.7 GW Campus and Anthropic $13.7B Deal Lead U.S. Data Center Expansion, Ein Presswire
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Pay for this role
$285,000 to $380,000 per year
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