Recruiter - Applied Scientist, Machine Learning Engineer, and Data Scientist

Salesforce is building the AI-powered future of enterprise software , and we need a world-class recruiter to help us win the most contested talent market in the industry.

This isn’t a high-volume, transactional recruiting role. This is a strategic seat at the table for a recruiter who has spent their career deeply embedded in recruiting for one or more of the following areas; Applied Science, Machine Learning, and/or Data Science and hiring at a company where the bar for talent is set at the top of the market for the next generation of innovators and builders.

Core Responsibilities & Scope

• Own full-cycle recruiting for Applied Scientist, Machine Learning Engineer, and/or Data Scientist roles across Salesforce’s AI and research organizations
• Partner deeply with senior engineering and research leaders to shape hiring strategy, define ideal candidate profiles, and influence how we compete for elite technical talent
• Build and maintain high-quality, research-grade talent pipelines , proactively mapping the market and engaging passive talent before requisitions open
• Lead complex offer negotiations, including sign-on and equity exception packages, with a clear understanding of market compensation benchmarks across FAANG and frontier AI companies
• Serve as a trusted advisor to hiring managers , pushing back, advising on tradeoffs, and bringing market intelligence that sharpens decision-making
• Collaborate with sourcing partners, recruiting coordinators, and peer advisors to run an efficient, high-touch candidate experience
• Contribute to team-level recruiting strategy, pipeline health reviews, and market talent intelligence initiatives

Minimum Requirements

• 5+ years of full-cycle technical recruiting experience, with a significant and demonstrated focus on Applied Science, Machine Learning, and/or Data Science roles
• Deep experience at a top-tier tech company , Meta, Google, or equivalent , where the talent bar is exceptionally high and the competition is fierce
• Proven ability to recruit across the full Applied Science and ML talent spectrum: ML Engineers, Data Scientists, Research Scientists, Applied Scientists, and MLOps Engineers
• Strong fluency in ML and AI concepts , enough to hold credible conversations with candidates and hiring managers about LLMs, deep learning, NLP, computer vision, and model development pipelines
• Track record of building proactive talent pipelines in highly contested, hard-to-fill research and applied ML talent pools
• Experience navigating complex compensation conversations, including base, equity (RSU), sign-on, and competing offer dynamics in the FAANG+ talent market
• Consultative, data-informed approach to recruiting , you bring market data, benchmarking intelligence, and candidate insights to every hiring manager interaction
• Strong communicator and relationship builder who earns trust quickly with both candidates and senior technical leaders

Benefits

• Time off programs
• Medical, dental, vision
• Mental health support
• Paid parental leave
• Life and disability insurance
• 401(k)
• Employee stock purchasing program

The typical base salary range for this position is $117,400 - $177,600 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $140,900 - $193,700 annually.