Senior Recruiter, AI Labs

Salesforce

. Own full-cycle recruiting for Applied Scientist, Machine Learning Engineer, and/or Data Scientist roles across Salesforce’s AI and research organizations .

Posted 11/11/2026full-timeRemote • South Carolina • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in full-cycle technical recruiting, particularly for Applied Scientists, Machine Learning Engineers, and Data Scientists. Proven ability to build talent pipelines and navigate complex compensation negotiations while providing strategic market insights.

Highest-signal resume keywords

Full-Cycle Technical RecruitingApplied Science RecruitmentMachine Learning ExpertiseTalent Pipeline DevelopmentCompensation Negotiation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Technical RecruitingMachine Learning ConceptsData Science RecruitmentResearch Scientist RecruitmentMLOps Engineering RecruitmentDeep LearningNatural Language ProcessingComputer VisionModel Development PipelinesMarket Intelligence

Soft Skills

Strong CommunicationRelationship BuildingConsultative Approach

Industry Keywords

AI ResearchApplied AITalent AcquisitionTop-Tier Tech CompaniesGraduate Recruiting

About the role

Key responsibilities & impact

Own full-cycle recruiting for Applied Scientist, Machine Learning Engineer, and/or Data Scientist roles across Salesforce’s AI and research organizations
Partner with senior engineering and research leaders to shape hiring strategy and define ideal candidate profiles
Influence how Salesforce competes for elite technical talent
Build and maintain research-grade talent pipelines by mapping the market and engaging passive talent
Lead complex offer negotiations, including sign-on and equity exception packages
Serve as a trusted advisor to hiring managers by providing market intelligence and advising on tradeoffs
Collaborate with sourcing partners, recruiting coordinators, and peer advisors to deliver a high-touch candidate experience
Contribute to recruiting strategy, pipeline health reviews, and market talent intelligence initiatives

Requirements

What you’ll need

5+ years of full-cycle technical recruiting experience
Significant and demonstrated focus on Applied Science, Machine Learning, and/or Data Science roles
Deep experience at a top-tier tech company such as Meta, Google, or equivalent
Proven ability to recruit ML Engineers, Data Scientists, Research Scientists, Applied Scientists, and MLOps Engineers
Strong fluency in ML and AI concepts, including LLMs, deep learning, NLP, computer vision, and model development pipelines
Track record of building proactive talent pipelines in hard-to-fill research and applied ML talent pools
Experience navigating compensation conversations involving base, equity (RSU), sign-on, and competing offers
Consultative, data-informed approach to recruiting
Strong communication and relationship-building skills
Experience recruiting for frontier AI organizations, AI research labs, or applied AI product teams (preferred)
Familiarity with AI/ML academic pipelines and graduate recruiting from top research universities (preferred)
Experience in large, matrixed organizations where recruiting requires influencing without authority (preferred)

Benefits

Comp & perks

Time off programs
Medical insurance
Dental insurance
Vision insurance
Mental health support
Paid parental leave
Life insurance
Disability insurance
401(k)
Employee stock purchasing program
Incentive compensation may be available for eligible roles
Equity may be available for eligible roles