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

*To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.*Job CategoryEmployee SuccessJob Details****About Salesforce****Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.About the RoleSalesforce is building the AI-powered future of enterprise software — and we need a world-class recruiter to help us win the most competitive 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. You've recruited at scale for research scientists, applied scientists, ML engineers, and data scientists. You understand the difference between a Machine Learning Engineer and an Applied Scientist. You've navigated nuanced leveling conversations, complex compensation structures, and competing offers from the best companies in the world — and you've won. Now, bring that expertise to Salesforce, where Agentforce and Einstein AI are redefining what enterprise AI looks like. Your pipeline and your craft will directly shape the teams building the most impactful AI products in the world.## What You'll Do* 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## What We're Looking For* **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 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 Have* 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 and graduate recruiting from top research universities (MIT, Stanford, CMU, Berkeley, UW, etc.)* Background working within large, matrixed organizations where recruiting requires influencing without authority## Why Salesforce* **Agentforce & Einstein AI** — You'll be recruiting for the teams building the AI products deployed by the world's largest enterprises, at a scale and data advantage no startup can match* **Real Impact** — This is not a support role. You will shape hiring strategy and directly influence how Salesforce's AI org is built* **Competitive Compensation** — We understand the market. We offer competitive base salaries, equity (RSU), and we actively seek sign-on and equity exceptions to close the talent we need* **World-Class Colleagues** — Work alongside a high-performing recruiting team with deep expertise across the AI/ML talent landscape* **Scope & Scale** — Only a handful of companies in the world operate at Salesforce's scale with this level of AI investment. The scope of what you'll recruit for here is unmatchedUnleash Your PotentialWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and *be your best*, and our AI agents accelerate your impact so you can *do your best*. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.AccommodationsIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this .Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.Posting StatementAny employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: to the San Francisco Fair #J-18808-Ljbffr Salesforce