ZipRecruiter

Log In

1

Google Recruiter Jobs (NOW HIRING)

next page

Showing results 1-20

All JobsGoogle Recruiter Jobs

Google Recruiter information

See salary details

$12

$27

$44

How much do google recruiter jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for google recruiter in the United States is $27.23, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $31.97 per hour, depending on experience, location, and employer.

Is it difficult to get hired at Google?

Getting hired as a Google recruiter is competitive due to the company's high standards and rigorous interview process. Candidates typically need strong communication skills, relevant experience in talent acquisition, and familiarity with Google's hiring practices. Success often depends on demonstrating technical understanding, problem-solving ability, and cultural fit.

What is a Google Recruiter job?

A Google Recruiter is responsible for identifying, attracting, and hiring top talent for various roles within the company. They work closely with hiring managers to understand job requirements, source candidates, conduct interviews, and guide applicants through the hiring process. Google Recruiters also focus on diversity hiring, employer branding, and ensuring a positive candidate experience. Their role involves using data-driven strategies and innovative tools to optimize the recruitment process.

What does a typical day look like for a Google Recruiter?

A typical day for a Google Recruiter involves sourcing and screening candidates, collaborating closely with hiring managers to understand role requirements, and managing the interview process from start to finish. Recruiters often review resumes, conduct phone screens, and schedule interviews while providing candidates with timely updates. There's a strong emphasis on data-driven decision making and maintaining a positive candidate experience. You’ll also participate in team meetings to discuss hiring strategies and may partner with other departments such as Human Resources, Compensation, and Diversity & Inclusion. This dynamic work environment requires a high level of organization and the ability to multitask across multiple roles and projects.

What are the key skills and qualifications needed to thrive in the Google Recruiter position, and why are they important?

To thrive as a Google Recruiter, you need expertise in talent acquisition, candidate sourcing, and full-cycle recruitment, often backed by a bachelor's degree and recruiting experience in technology or similar fields. Familiarity with applicant tracking systems (ATS) like Greenhouse, and tools such as LinkedIn Recruiter, are commonly required, and technical knowledge of Google’s products or engineering terminology is a plus. Strong interpersonal skills, attention to detail, adaptability, and stakeholder management help you stand out. These skills are critical for attracting top talent, building effective relationships, and ensuring a seamless hiring process in a high-growth tech environment.

How to get recruited at Google?

To get recruited as a Google recruiter, candidates should have relevant experience in talent acquisition, strong communication skills, and familiarity with Google's hiring processes and tools like ATS systems. Demonstrating a track record of successful placements and understanding Google's core values can improve chances. Applying through Google's careers website and networking with current employees can also be effective.

What does a recruiter at Google do?

A recruiter at Google is responsible for identifying, attracting, and hiring qualified candidates for various roles within the company. They manage the recruiting process, including sourcing candidates, conducting interviews, and coordinating offers, often using tools like applicant tracking systems. Strong communication and understanding of Google's hiring standards are essential for success in this role.

What is the 70 30 rule in hiring?

The 70/30 rule in hiring suggests that recruiters should spend approximately 70% of their time sourcing and engaging candidates, and 30% on administrative tasks and interviews. For a Google Recruiter, this balance helps ensure active candidate pipelines while managing hiring processes efficiently.
More about Google Recruiter jobs
What cities are hiring for Google Recruiter jobs? Cities with the most Google Recruiter job openings:
What are the most commonly searched types of Google Recruiter jobs? The most popular types of Google Recruiter jobs are:
What states have the most Google Recruiter jobs? States with the most job openings for Google Recruiter jobs include:
What job categories do people searching Google Recruiter jobs look for? The top searched job categories for Google Recruiter jobs are:
Google Recruiter jobs near you
Infographic showing various Google Recruiter job openings in the United States as of June 2026, with employment types broken down into 2% Locum Tenens, 44% Full Time, 8% Part Time, and 46% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $56,641 per year, or $27.2 per hour.
Research Data Scientist, Cybersecurity, Google Cloud

Research Data Scientist, Cybersecurity, Google Cloud

Google

San Francisco, CA • On-site

Full-time

Posted 26 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 99 frontline employees who took The Breakroom Quiz

38th of 202 rated software companies

Job description

info_outline
X Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Reston, VA, USA.
Minimum qualifications:
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  • 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

Preferred qualifications:
  • 3 years of experience developing and deploying machine learning and AI models in production settings.
  • Experience at the intersection of security or fraud and ML.
  • Experience applying a variety of unsupervised, semi-supervised, and supervised machine learning techniques, and the ability to turn big data into actionable intelligence.
  • Experience building LLM-powered applications to automate the analysis and contextualization of complex data.
  • Experience with the challenges in applying machine learning in a non-stationary and adversarial environment.
  • Ability to evaluate, analyze, and improve machine learning models and LLM-driven systems.

About the job
The Google Cloud Gusto AI Data Science Research team develops innovative, data-driven solutions to today's most challenging cybersecurity problems. By leveraging data derived from Google's unparalleled view of the threat landscape, our cross-functional, applied research team experiments and delivers impactful findings for both our customers and the broader cybersecurity industry.
We are looking for a Research Data Scientist to help us solve challenging cybersecurity problems and protect billions of customers by applying their expert knowledge of machine learning, statistics, and Generative AI. In this role, you will partner with subject matter experts on the front lines defending against advanced threat actors, iteratively develop new capabilities, and work closely with our engineering team to deploy and maintain them. Our team works on a wide variety of cybersecurity challenges including agentic security operations, threat intelligence contextualization, security-tuning LLMs, dark web threat detection, and more. We encourage sharing impactful learnings through publications at academic conferences and talks at industry venues.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $211000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Explore promising areas of future research at the intersection of cybersecurity and machine learning.
  • Drive the research and development of new models and analytic products to solve cybersecurity problems.
  • Develop models and analytics. Move from proof of concept to minimum viable product quickly and efficiently.
  • Work closely with other engineering teams to develop scalable data pipelines, deploy models/analytics, and enact telemetry-driven model improvements over time.
  • Communicate research results to stakeholders and the research community through documentation, white papers, peer-reviewed publications, and presentations.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

What Google employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply