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Google Research Jobs (NOW HIRING)

At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product ...

Research Scientist Intern

Palo Alto, CA · On-site

$8.0K - $10K/mo

Intern experience in industry (e.g., OpenAI, FAIR, Deepmind, Google Research). * Hands-on experience working at the intersection of AI and Biology. * Experience in large-scale distributed training ...

Research Scientist Intern

Palo Alto, CA · On-site

$8.0K - $10K/mo

Intern experience in industry (e.g., OpenAI, FAIR, Deepmind, Google Research). * Hands-on experience working at the intersection of AI and Biology. * Experience in large-scale distributed training ...

Senior Research Engineer

Mountain View, CA · On-site

$241K/yr

... in a Research Engineer-related occupation. * Alternatively, will accept a Master's degree in ... Learn more about benefits at Google . Position reports to the Google Mountain View, California ...

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 ...

Research Software Engineer

Mountain View, CA · On-site

$241K/yr

About the job Google's software engineers develop the next-generation technologies that change how ... As a part of the AI and Research Accelerator, a specialized team within the newly formed AI ...

New

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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$30K

$58.7K

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How much do google research jobs pay per year?

As of Jun 20, 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.

How much does Google Research pay?

Google Research offers competitive salaries that vary based on role, experience, and location. Entry-level research positions typically start around $100,000 annually, with experienced researchers earning significantly more, often exceeding $200,000 including bonuses and stock options. Compensation also includes benefits such as health insurance, retirement plans, and professional development opportunities.

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 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.

How difficult is it to get hired at Google?

Getting hired at Google for research roles is highly competitive, often requiring strong technical skills, advanced degrees, and relevant experience. Candidates typically go through multiple interview rounds assessing problem-solving, coding, and domain expertise, making the process challenging but transparent with clear evaluation criteria.

How to become a researcher at Google?

To become a researcher at Google, candidates typically need a strong background in computer science, machine learning, or related fields, often with a Ph.D. or equivalent experience. Relevant skills include programming in languages like Python or C++, experience with large-scale data analysis, and familiarity with research tools and methodologies. Applying through Google's careers website and demonstrating a strong research portfolio or publications can improve chances.

Does Google Research still exist?

Google Research is an active division within Google focused on advancing AI, machine learning, and other technologies. It continues to publish research papers, develop new tools, and hire researchers with expertise in data analysis, programming, and scientific methods.

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.

More about Google Research jobs
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:

Senior Research Engineer

Google

New York, NY • On-site

Full-time

Posted 10 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 94 frontline employees who took The Breakroom Quiz

32nd of 191 rated software companies


Job description

Minimum qualifications:
  • PhD degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field and 2 years of experience in the job offered or in a Research Engineer-related occupation.
  • Alternatively, will accept a Master's degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field, and 5 years of experience in the job offered or in a Research Engineer-related occupation.
  • Position requires 2 years of experience in the following: Python or C ; Machine learning theory application; Development with Tensorflow, JAX, or PyTorch machine learning frameworks; Leading a research agenda; Applied research from proof-of-concept to implementation

About the job
The US base salary range for this full-time position is $174,000 - $252,000 15% bonus target equity benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google .
Position reports to the Google New York, NY office & may allow for a hybrid schedule as per Google policy.
Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Responsibilities
  • Apply research ideas to high-impact problems by prototyping, curating datasets, and deploying optimized machine learning systems
  • Architect and implement scalable software libraries and high-quality code in Python or C to translate complex research into practical applications
  • Drive high-stake, long-term research projects from ideation to completion by scoping project needs, managing resources, and solving ambiguous problems
  • Train, evaluate, and iterate on deep neural models and reinforcement learning algorithms to continually improve agent performance and achieve research objectives
  • Influence engineering best practices by championing code reviews, mentoring team members, and facilitating clear communication between research and engineering. Communicate research developments, experimental results, and project status clearly to internal teams and the broader external community

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.

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