{"schemaVersion":"jobsearcher.job.v1","id":"6bdfb755d43345ede202c9ea","url":"https://jobsearcher.com/jobs/6bdfb755d43345ede202c9ea","canonicalUrl":"https://jobsearcher.com/jobs/6bdfb755d43345ede202c9ea","title":"Recruiter","description":"Recruiting PartnerSan Francisco Bay Area, USA (onsite)$120,000 - $180,000 salary + bonusThe roleRecruiting Partner with approximately 8+ years of experience in the technology ecosystem. This is not a typical \"recruiter\" role; it is a critical operational position that combines high-level PhD/Research Scientist sourcing with the rigorous, high-volume coordination required to scale a top-tier lab.In a high-growth environment, the \"bottleneck\" is often the schedule. You will be the architect of our candidate experience, ensuring that every interview loop—no matter how complex or cross-continental—runs with \"white-glove\" precision.Responsibilities:1. High-Volume Coordination & Scheduling (Primary Focus)- The \"Scheduling Engine\": Manage the complex, multi-stage interview calendars for all regional and international roles. This includes coordinating across multiple time zones.- Panel Optimization: Work with People Operations and Team Leads to ensure interview panels are balanced, diverse, and technically aligned.-Candidate Experience: Act as the primary point of contact for candidates, ensuring they are briefed, prepared, and supported from initial outreach to offer.2. Full-Cycle Research Recruiting- Strategic Sourcing & Market Mapping: Conduct deep-market research and mapping to identify and engage world-class PhD talent across core and emerging AI domains, including Reinforcement Learning (RL), Post-training, Vision-Language Models (VLM), Diffusion, World Models, and Infrastructure.- End-to-End Search Management: Lead the full recruiting lifecycle from initial intake sessions with hiring managers to final closing. Develop tailored hiring strategies for niche research roles.- Stakeholder Management: Partner directly with Research Leadership and Team Leads to define role requirements, refine job descriptions, and calibrate candidate profiles through regular feedback loops.- Consultative Candidate Management: Serve as a brand ambassador and consultant to candidates, articulating the lab's unique mission and technical roadmap to convert high-passive talent.3. Talent Operations & Infrastructure- Compliance & Audit Readiness: Ensure all recruiting processes, documentation, and data tracking are fully compliant with federal and state labor laws (e.g., EEO, CCPA, and relevant California labor codes). Maintain an \"audit-ready\" environment for all hiring records and candidate data.- ATS Mastery: Take full ownership of our Applicant Tracking System. Ensure 100% data integrity, manage the referral pipeline, and provide weekly \"Health of the Pipeline\" reports to leadership.- Process Building: Evaluate and improve our hiring workflows. You will build the templates and playbooks that allow us to scale significantly.- Brand Ambassadorship: Help represent the lab at top-tier conferences to build our local and global talent brand.Requirements:8+ Years of Experience: Proven track record in Talent Acquisition, specifically within high-growth AI labs or Tier-1 tech firms.Research Literacy: You must understand the difference between a \"Software Engineer\" and a \"Research Scientist.\" Familiarity with the ML research ecosystem and PhD hiring cycles is essential.- Mastery of Complexity: Exceptional organizational skills. You should thrive in the \"logistical puzzle\" of scheduling multiple complex interview rounds per day without errors.-Communication: Ability to communicate with high-seniority executives and elite academic researchers with professional poise.- Tools: Expert-level proficiency in modern ATS platforms (experience with Lever is a significant plus), LinkedIn Recruiter, and productivity suites.Why apply:Opportunity to build out a new division at the forefront of AI innovationFAANG competitive salary & packageWork alongside superstars from FAANG labs & leading AI companiesMedical, Dental and Vision InsuranceRelocation package availableSan Francisco Bay Area, USAInterested in applying? Please click on the 'Easy Apply' button or alternatively email me your resume at stefani.lukic@storm3.com","company":"Storm3","rawCompany":"storm3","city":"Alameda","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-09T08:10:45.965Z","occupations":[{"code":"13-1071.00","title":"Human Resources Specialists","slug":"human-resources-specialists"},{"code":"11-3121.00","title":"Human Resources Managers","slug":"human-resources-managers"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"561311","title":"Employment Placement Agencies","slug":"employment-placement-agencies"},{"code":"561312","title":"Executive Search Services","slug":"executive-search-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Recruiter","description":"Recruiting PartnerSan Francisco Bay Area, USA (onsite)$120,000 - $180,000 salary + bonusThe roleRecruiting Partner with approximately 8+ years of experience in the technology ecosystem. This is not a typical \"recruiter\" role; it is a critical operational position that combines high-level PhD/Research Scientist sourcing with the rigorous, high-volume coordination required to scale a top-tier lab.In a high-growth environment, the \"bottleneck\" is often the schedule. You will be the architect of our candidate experience, ensuring that every interview loop—no matter how complex or cross-continental—runs with \"white-glove\" precision.Responsibilities:1. High-Volume Coordination & Scheduling (Primary Focus)- The \"Scheduling Engine\": Manage the complex, multi-stage interview calendars for all regional and international roles. This includes coordinating across multiple time zones.- Panel Optimization: Work with People Operations and Team Leads to ensure interview panels are balanced, diverse, and technically aligned.-Candidate Experience: Act as the primary point of contact for candidates, ensuring they are briefed, prepared, and supported from initial outreach to offer.2. Full-Cycle Research Recruiting- Strategic Sourcing & Market Mapping: Conduct deep-market research and mapping to identify and engage world-class PhD talent across core and emerging AI domains, including Reinforcement Learning (RL), Post-training, Vision-Language Models (VLM), Diffusion, World Models, and Infrastructure.- End-to-End Search Management: Lead the full recruiting lifecycle from initial intake sessions with hiring managers to final closing. Develop tailored hiring strategies for niche research roles.- Stakeholder Management: Partner directly with Research Leadership and Team Leads to define role requirements, refine job descriptions, and calibrate candidate profiles through regular feedback loops.- Consultative Candidate Management: Serve as a brand ambassador and consultant to candidates, articulating the lab's unique mission and technical roadmap to convert high-passive talent.3. Talent Operations & Infrastructure- Compliance & Audit Readiness: Ensure all recruiting processes, documentation, and data tracking are fully compliant with federal and state labor laws (e.g., EEO, CCPA, and relevant California labor codes). Maintain an \"audit-ready\" environment for all hiring records and candidate data.- ATS Mastery: Take full ownership of our Applicant Tracking System. Ensure 100% data integrity, manage the referral pipeline, and provide weekly \"Health of the Pipeline\" reports to leadership.- Process Building: Evaluate and improve our hiring workflows. You will build the templates and playbooks that allow us to scale significantly.- Brand Ambassadorship: Help represent the lab at top-tier conferences to build our local and global talent brand.Requirements:8+ Years of Experience: Proven track record in Talent Acquisition, specifically within high-growth AI labs or Tier-1 tech firms.Research Literacy: You must understand the difference between a \"Software Engineer\" and a \"Research Scientist.\" Familiarity with the ML research ecosystem and PhD hiring cycles is essential.- Mastery of Complexity: Exceptional organizational skills. You should thrive in the \"logistical puzzle\" of scheduling multiple complex interview rounds per day without errors.-Communication: Ability to communicate with high-seniority executives and elite academic researchers with professional poise.- Tools: Expert-level proficiency in modern ATS platforms (experience with Lever is a significant plus), LinkedIn Recruiter, and productivity suites.Why apply:Opportunity to build out a new division at the forefront of AI innovationFAANG competitive salary & packageWork alongside superstars from FAANG labs & leading AI companiesMedical, Dental and Vision InsuranceRelocation package availableSan Francisco Bay Area, USAInterested in applying? 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