Senior Technical Recruiter - Research Science

Develop and execute creative, effective strategies for attracting PhD-level Research Scientist talent in a highly competitive market Own sourcing to build and maintain a robust, consistent, and diverse candidate pipeline, including representation from academia, top research labs, and PhD/postdoc programs Track and analyze recruiting funnel metrics to improve speed, efficiency, and outcomes Deliver a best-in-class candidate experience tailored to researchers considering academic and industry paths Partner with Research leadership and hiring managers to understand research areas, publication expectations, and technical requirements, and advise on hiring strategy and decisions Challenge hiring managers and the broader team toward better, more creative approaches to attracting research talent Monitor AI/ML research talent market trends, including compensation, publication trends, conference activity, and researcher movement, and share insights with People leadership Represent Snorkel at AI/ML conferences such as NeurIPS, ICML, ICLR, and ACL and build relationships within the academic and research community Coordinate interviews including research talks, technical deep dives, and panel discussions; deliver timely feedback and ensure clear communication Assess and improve the research recruiting process operationally Partner with People and Research teams to support onboarding, including visa and immigration support where applicable Requirements 8+ years of full-cycle recruiting experience, with a strong focus on PhD-level Research Scientist or applied research roles in AI/ML, ideally within technology startups Demonstrated success recruiting in high-growth, fast-paced startup environments Strong familiarity with the San Francisco Bay Area academic and research talent landscape, including top university labs and research programs Fluency in reading and evaluating research talent through publication history, conference presence (NeurIPS, ICML, ICLR, ACL, etc.), and academic pedigree Proven ability to source and attract passive candidates, including current PhD students, postdocs, and researchers at competing labs, and build diverse, high-quality pipelines Proficiency with modern recruiting tools and platforms (Greenhouse, ModernLoop, and Gem preferred) Excellent verbal and written communication skills, balancing professionalism with warmth, and comfortable speaking credibly with candidates about technical research areas Skilled at building trust and credibility quickly, including the ability to coach and push back constructively on hiring managers and research leaders Deep understanding of the AI/ML research landscape and the unique considerations researchers weigh when moving from academia or research labs into industry Genuine passion for building and promoting a diverse and inclusive workplace Bachelor's degree in Human Resources, Business, or a related field; advanced degree or technical background a plus (preferred qualification) Experience recruiting for both research and applied science roles within a scaling organization (preferred) Existing network within the Bay Area AI/ML research community, including academic labs and PhD programs (preferred) Core Competencies Expertise in full-cycle recruiting for PhD-level Research Scientists in AI/ML, with a strong focus on building diverse candidate pipelines and improving recruiting processes. Proficient in leveraging modern recruiting tools and understanding the academic and research landscape to attract top talent. Highest-signal resume keywords Full-Cycle Recruiting Experience PhD-Level Research Scientist Recruitment AI/ML Research Landscape Knowledge Proficiency with Recruiting Tools Strong Communication Skills ATS Optimization Keywords Hard Skills Full-Cycle Recruiting Sourcing Passive Candidates Recruiting Metrics Analysis Candidate Pipeline Development Research Talent Evaluation Soft Skills Excellent Communication Trust Building Coaching and Constructive Feedback Creativity in Recruitment Strategies Passion for Diversity and Inclusion Certifications & Qualifications Bachelor's Degree in Human Resources Advanced Degree Preferred Industry Keywords AI/ML Research PhD Programs Academic Labs Research Scientist Startup Environment Tools & Technologies Greenhouse ModernLoop Gem #J-18808-Ljbffr Jobtailor