# Recruiter - Applied Science, Machine Learning, and Data Science

**Company**: Salesforce
**Location**: Remote, South Carolina
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Human Resources
**Industry**: Technology

**Apply**: https://salesforce.wd12.myworkdayjobs.com/en-US/External_Career_Site/job/South-Carolina---Remote/Senior-Recruiter--AI-Labs_JR367291-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/recruiter-applied-science-machine-learning-and-d029157b-604/

## Description

Salesforce is seeking a world-class recruiter to help build the AI-powered future of enterprise software. As a Recruiter - Applied Science, Machine Learning, and Data Science, you will own full-cycle recruiting for Applied Scientist, Machine Learning Engineer, and/or Data Scientist roles across Salesforce's AI and research organizations.

**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

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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
- 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/South-Carolina---Remote/Senior-Recruiter--AI-Labs_JR367291-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)