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Google Researcher Jobs (NOW HIRING)

Google

Research Engineer

Los Angeles, CA · On-site

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 ...

Google

DFT Engineer, Google Cloud

Sunnyvale, CA · On-site

... research, and much more. Individual pay is determined by factors including job-related skills ... Google is proud to be an equal opportunity and affirmative action employer. We are committed to ...

Google

Logistics Area Manager, Google Cloud

Reston, VA · On-site

... research, and much more. Individual pay is determined by factors including job-related skills ... Google is proud to be an equal opportunity and affirmative action employer. We are committed to ...

Google

Software Engineer III, AI/ML, Google Cloud AI

Sunnyvale, CA · On-site

$67.50 - $90.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud's mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of ...

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Google Researcher information

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$30K

$113.1K

$164.5K

How much do google researcher jobs pay per year?

As of Aug 18, 2026, the average yearly pay for google researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What is a Google researcher?

A Google Researcher is responsible for conducting cutting-edge research in areas like artificial intelligence, machine learning, natural language processing, and other advanced technologies. They work on developing innovative solutions, publishing papers, collaborating with academic institutions, and applying research breakthroughs to real-world Google products. Researchers often have strong backgrounds in computer science, mathematics, or related fields, and they contribute to both theoretical advancements and practical applications within Google's ecosystem.

What are the typical research projects and collaboration opportunities for Google researchers?

Google Researchers work on a wide range of projects, including artificial intelligence, machine learning, natural language processing, data privacy, and novel algorithms. Collaboration is a core part of the job—researchers often partner closely with software engineers, product teams, and fellow scientists both within Google and in academia. This team-based environment fosters interdisciplinary innovation and allows researchers to see their work translated into real-world applications. As a Google Researcher, you’ll also have the opportunity to publish your findings, present at conferences, and contribute to open-source initiatives, all while advancing your career in a dynamic, supportive setting.

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

To thrive as a Google Researcher, you need advanced analytical expertise, a strong background in computer science or a related field, and a proven research track record, often supported by a PhD or equivalent experience. Familiarity with tools like Python, TensorFlow, large-scale data processing systems, and publication in top-tier conferences or journals is highly valued. Exceptional problem-solving, collaboration, and communication skills help you work effectively in cross-functional, innovative teams. These abilities are critical for developing groundbreaking technologies and contributing to impactful research projects at Google.

Does Google hire researchers?

Yes, Google hires researchers for roles in areas such as artificial intelligence, machine learning, and data science. These positions typically require strong technical skills, advanced degrees, and experience with research methodologies and tools like TensorFlow or Python.

How to become a Google researcher?

To become a Google researcher, candidates typically need a strong background in computer science, data analysis, or related fields, often holding a master's or Ph.D. degree. Relevant skills include programming, machine learning, and data modeling, along with experience in research environments and familiarity with tools like TensorFlow or Google Cloud. Applying through Google's careers portal and demonstrating research experience are key steps.
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What states have the most Google Researcher jobs?

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What job categories do people searching Google Researcher jobs look for?

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Google Researcher jobs near you
Infographic showing various Google Researcher job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 68% Physical, 4% Hybrid, and 28% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

Research Engineer

Google

Los Angeles, CA • On-site

Full-time

Posted 20 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

49th of 245 rated software companies

Job description

info_outline
X Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Minimum qualifications:
  • PhD degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field.
  • Alternatively, we will accept a Master's degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field, and 3 years of experience in the job offered or in a Research Engineering- related occupation.
  • Position requires experience in the following: Python or C ; Algorithm design for machine learning applications; Statistical analysis for machine learning; Software engineering for large-scale ML projects; and Designing controlled experimental designing for machine learning analysis.

About the job
The US base salary range for this full-time position is $147,000 - $211,000 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 Venice, CA office & may allow for a hybrid schedule 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 advanced machine learning models and research to solve high-impact, real-world problems through rapid prototyping and experimental design.
  • Develop high-quality, scalable code in Python or C by translating complex research concepts into robust algorithms and software libraries.
  • Train, evaluate, and iteratively improve the performance of machine learning models and agents throughout the entire research and development cycle.
  • Plan and execute multi-week projects, independently solving technical challenges and ensuring your work aligns with broader team goals.
  • Collaborate closely with research scientists and engineers, clearly communicating project plans, developments, and experimental results to diverse audiences. Provide software design expertise to research projects, writing effective design documents and contributing to the enhancement of team tools and processes.

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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