Senior Recruiter – Applied Science, Machine Learning & Data Science Recruiting

Salesforce•Palo Alto, CA

1d•$94,000 - $155,200

About The Position

Salesforce is building the AI-powered future of enterprise software and is seeking a world-class recruiter deeply embedded in recruiting for Applied Science, Machine Learning, and/or Data Science roles. This strategic role involves hiring for top-tier talent in a competitive market, shaping teams that build impactful AI products. The position is not high-volume or transactional, but rather a strategic seat at the table for experienced technical recruiters.

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, 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 competitive, 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, competitive 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.

Nice To Haves

Experience recruiting for frontier AI organizations, AI research labs, or applied AI product teams (e.g., FAIR, Google Brain/DeepMind, OpenAI).
Familiarity with AI/ML academic pipelines from top research universities (MIT, Stanford, CMU, Berkeley, UW, etc.).
Background working within large, matrixed organizations where recruiting requires influencing without authority.

Responsibilities

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 competitive 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 competitive talent intelligence initiatives.