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

**Company**: Salesforce
**Location**: San Francisco, California
**Experience**: senior
**Job type**: full-time
**Salary**: $117,400 - $177,600 annually
**Category**: Human Resources
**Industry**: Technology

**Apply**: https://salesforce.wd12.myworkdayjobs.com/en-US/External_Career_Site/job/California---San-Francisco/Talent-Advisor--AI-Labs_JR367295-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/recruiter-applied-scientist-machine-learning-41e525c6-707/

## Description

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.

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## Skills

### Required
- Applied Science
- Machine Learning
- Data Science
- LLMs
- deep learning
- NLP
- computer vision
- model development pipelines

### Nice to have
- frontier AI organizations
- AI research labs
- applied AI product teams
- FAIR
- Google Brain/DeepMind
- OpenAI

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Source: [Apply at salesforce.wd12.myworkdayjobs.com](https://salesforce.wd12.myworkdayjobs.com/en-US/External_Career_Site/job/California---San-Francisco/Talent-Advisor--AI-Labs_JR367295-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)