Senior Technical Recruiter – Research Science

Snorkel AI

Senior recruiter sourcing PhD-level AI/ML researchers for Snorkel AI, which transforms expert knowledge into specialized enterprise AI. Managing research recruiting strategy, pipelines, interviews, and stakeholder partnerships.

Posted 8/20/2026full-timeNew York City • California, New York • 🇺🇸 United StatesSenior💰 $150,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

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 ExperiencePhD-Level Research Scientist RecruitmentAI/ML Research Landscape KnowledgeProficiency with Recruiting ToolsStrong Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Full-Cycle RecruitingSourcing Passive CandidatesRecruiting Metrics AnalysisCandidate Pipeline DevelopmentResearch Talent Evaluation

Soft Skills

Excellent CommunicationTrust BuildingCoaching and Constructive FeedbackCreativity in Recruitment StrategiesPassion for Diversity and Inclusion

Tools & Technologies

GreenhouseModernLoopGem

Certifications & Qualifications

Bachelor's Degree in Human ResourcesAdvanced Degree Preferred

Industry Keywords

AI/ML ResearchPhD ProgramsAcademic LabsResearch ScientistStartup Environment

About the role

Key responsibilities & impact

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

What you’ll need

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)

Benefits

Comp & perks

Visa and immigration support where applicable
Career development and learning opportunities
Opportunities to explore leadership opportunities and learn new skills across multiple functions
Reasonable accommodation for individuals with disabilities
Equal employment opportunities and benefits and privileges of employment