Senior Technical Recruiter (AI/ML Talent)

Quick Facts

• Role: Senior Technical Recruiter (AI/ML Talent)

• Focus: Applied Science, Machine Learning, and Data Science hiring for AI and research organizations

Description

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, define ideal candidate profiles, and build proactive research-grade talent pipelines. Lead complex offer negotiations—including sign-on and equity exceptions—using market compensation benchmarks to win elite technical talent.

Responsibilities

• Own full-cycle recruiting for Applied Scientist, Machine Learning Engineer, and/or Data Scientist roles

• Partner deeply with senior engineering and research leaders to influence hiring strategy and candidate profiles

• Build and maintain high-quality, research-grade talent pipelines; map the market before requisitions open

• Lead complex offer negotiations (sign-on and equity exception packages) against market benchmarks

• Advise hiring managers with tradeoff guidance and market talent intelligence

• Collaborate with sourcing partners and recruiting coordinators to run an efficient, high-touch candidate experience

• Contribute to recruiting strategy, pipeline health reviews, and market talent intelligence initiatives

Requirements

• 5+ years of full-cycle technical recruiting experience with significant focus on Applied Science, Machine Learning, and/or Data Science roles

• Deep experience at a top-tier tech company (e.g., Meta, Google, or equivalent) with an exceptionally high talent bar

• Proven ability to recruit across the full Applied Science and ML spectrum (ML Engineers, Data Scientists, Research Scientists, Applied Scientists, MLOps Engineers)

• Strong fluency in ML and AI concepts (LLMs, deep learning, NLP, computer vision, model development pipelines)

• Track record building proactive talent pipelines for highly contested research and applied ML roles

• Experience navigating complex compensation (base, RSUs, sign-on, and competing offers)

• Consultative, data-informed recruiting using market data and benchmarking intelligence

• Strong communication and relationship-building with candidates and senior technical leaders

Benefits

• Time off programs

• Medical, dental, vision, and mental health support

• Paid parental leave

• Life and disability insurance

• 401(k)

• Employee stock purchasing program

• AI agents to accelerate your impact