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Google Research Jobs (NOW HIRING)

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Partner closely and effectively with Google R&D and GTM teams on this strategic partnership * Develop compelling product positioning, packaging, and pricing strategies that highlight Five9 ...

Polynomic was founded by Madhav (ex Google Ads, Citadel, HBS, Harvard) and Nathan (ex Google Research, HBS, Stanford CS). Madhav launched a new AI ads product (0 -> $675M ARR) at Google, and Nathan ...

Google is a leading technology company focused on innovation and research. As a Research Scientist, you'll define and pursue a long-term applied research agenda, designing novel architectures and ...

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Google Research information

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$30K

$58.7K

$95K

How much do google research jobs pay per year?

As of May 30, 2026, the average yearly pay for google research in the United States is $58,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $70,000.00 per year, depending on experience, location, and employer.

What is a Google Research job?

A Google Research job involves conducting cutting-edge research in artificial intelligence, machine learning, computer science, and other advanced fields. Researchers at Google work on theoretical and applied problems, develop new algorithms, and publish papers in top conferences. They also collaborate with product teams to integrate research breakthroughs into real-world applications. These roles often require strong expertise in fields like deep learning, natural language processing, or computer vision, as well as a PhD or equivalent experience.

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

Succeeding at Google Research requires a strong background in computer science, mathematics, or a related technical field, typically supported by a Ph.D. or equivalent research experience. Familiarity with Python, TensorFlow, PyTorch, and experience in publishing in top-tier conferences are highly valued. Excellent problem-solving skills, intellectual curiosity, and the ability to communicate complex ideas clearly are important soft skills. These competencies are crucial for driving innovative research, effective team collaboration, and advancing impactful projects at Google.

What types of projects and research areas do Google Research team members typically work on?

Team members at Google Research work on a wide variety of cutting-edge projects, including but not limited to machine learning, natural language processing, computer vision, and artificial intelligence. Research topics can range from developing novel algorithms to creating scalable systems that serve billions of users. The team often collaborates with product groups and academic partners, providing opportunities to see research make a real-world impact. You’ll find both individual and group-oriented projects, with regular opportunities for publication, patent filings, and contribution to open-source software. This diversity allows researchers to continuously learn and advance their careers in multiple directions.
What cities are hiring for Google Research jobs? Cities with the most Google Research job openings:
What states have the most Google Research jobs? States with the most job openings for Google Research jobs include:
Infographic showing various Google Research job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 86% Full Time, 11% Part Time, and 1% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $58,746 per year, or $28.2 per hour.

Staff Research Scientist, AI2 Research

Google

Sunnyvale, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Google rating

8.7

Company rating: 8.7 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

36th of 183 rated software companies


Job description

info_outline
X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
  • Maternity Leave (Short-Term Disability Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA.
Minimum qualifications:
  • PhD in Computer Science, a related field, or equivalent practical experience.
  • 4 years of experience with research agendas across multiple teams or projects.
  • Experience in one or more of the following programming languages: Java, C and Python.
  • One or more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Preferred qualifications:
  • 2 years of experience in coding and leading multiple research efforts and influencing research direction.
  • Extensive programming experience in Python, and deep learning frameworks like TensorFlow/Jax/Pytorch.
  • Experience in one or more of the following areas: Natural Language Understanding, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Data Mining, or Artificial Intelligence.
  • Experience developing ML solutions for real world problems.
  • Experience in deep learning, distributed training.
  • Excellent communication skills.

About the job
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
Join a team of research scientists and engineers that are managing real world problems for Google to help AI transform the world!
The team addresses AI research challenges motivated by Google's mission to organize the world's information and make it universally accessible and useful. We focus on solve grand scientific and engineering challenges in science, systems, and infrastructure via AI, foundation models, and agentic solutions. We work on a range of high-impact problems with the goal of maximizing both scientific and real-world impact - both pushing the state-of-the-art in AI in top venues and collaborating across teams to bring innovations to production.
The US base salary range for this full-time position is $207,000-$300,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities
  • Author research papers to share and generate impact of research results across organization and in the research community.
  • Assist in research growth by sharing research trends and best practices within the community by reviewing academic papers, and serving on program committees and grant panels.
  • Deliver on large portions of a project by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed.
  • Identify new and upcoming research areas by interacting with potential external and internal collaborators. Develop long-term research strategy and plans to expand the impact of Google research.
  • Identify complex but defined problems/gaps in existing technology and engage stakeholders and leaders to address them.

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.

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