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-timeUnited StatesSenior💰 $117,400 - $177,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in full-cycle technical recruiting for Applied Science, Machine Learning, and Data Science roles, with a strong focus on building proactive talent pipelines and navigating complex compensation conversations. Leverages market intelligence and consultative approaches to shape hiring strategies and enhance candidate experiences.

Highest-signal resume keywords

Full-Cycle Technical RecruitingMachine Learning RecruitingTalent Pipeline DevelopmentCompensation NegotiationMarket Intelligence Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Recruiting For Machine Learning EngineersRecruiting For Data ScientistsRecruiting For Applied ScientistsRecruiting For MLOps EngineersUnderstanding Of ML And AI ConceptsExperience With Deep LearningExperience With NLPExperience With Computer VisionModel Development PipelinesData-Informed Recruiting Approach

Soft Skills

Consultative RecruitingCollaborationAdvisory Skills

Industry Keywords

Applied ScienceMachine LearningData ScienceAI Research LabsGraduate RecruitingTop-Tier Tech CompaniesMatrixed Organizations

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
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
Advise hiring managers on tradeoffs and provide market intelligence
Collaborate with sourcing partners, recruiting coordinators, and peer advisors to deliver a high-touch candidate experience
Contribute to team-level 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 salary, equity/RSU, sign-on, and competing offers
Consultative, data-informed recruiting approach using market data, benchmarking intelligence, and candidate insights
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
Background in large, matrixed organizations 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
Certain roles may be eligible for incentive compensation and equity
Reasonable accommodation during the application or recruiting process