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How much do google labs jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for google labs in the United States is $70.99, according to ZipRecruiter salary data. Most workers in this role earn between $61.30 and $81.73 per hour, depending on experience, location, and employer.

What is a Google Labs job?

A Google Labs job typically involves working on early-stage, experimental projects within Google. Employees in these roles focus on researching, developing, and testing innovative technologies before they become mainstream products. Google Labs teams often work on cutting-edge AI, augmented reality, and other advanced technologies. These roles require strong technical skills, creativity, and the ability to work in fast-paced, evolving environments.

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

To thrive in a Google Labs position, you need a strong background in computer science, research, and product development, often supported by advanced degrees or equivalent experience. Familiarity with programming languages (such as Python or Java), machine learning frameworks, and cloud computing platforms is typically required. Creativity, a collaborative mindset, and adaptability are standout soft skills in this environment. These skills are crucial for developing innovative technologies and working effectively within dynamic, multidisciplinary teams to bring experimental projects to life.

What kind of projects and challenges can I expect to work on at Google Labs?

At Google Labs, you can expect to work on pioneering projects that explore emerging technologies and push the boundaries of what's possible, often in areas such as artificial intelligence, augmented reality, and user experience design. The work frequently involves rapid prototyping, conducting feasibility studies, and iterating on experimental concepts in collaboration with researchers, engineers, and product managers. Challenges often include balancing innovation with technical feasibility, navigating ambiguous problem spaces, and effectively communicating complex ideas to diverse stakeholders. This environment fosters continuous learning and offers opportunities to make a significant impact on future Google products.

More about Google Labs jobs
What cities are hiring for Google Labs jobs? Cities with the most Google Labs job openings:
What are the most commonly searched types of Google Labs jobs? The most popular types of Google Labs jobs are:
What states have the most Google Labs jobs? States with the most job openings for Google Labs jobs include:
What job categories do people searching Google Labs jobs look for? The top searched job categories for Google Labs jobs are:
Infographic showing various Google Labs job openings in the United States as of May 2026, with employment types broken down into 56% Full Time, 33% Part Time, and 11% Temporary. Highlights an 100% In-person job distribution, with an average salary of $147,666 per year, or $71 per hour.

Software Engineer, ML Quality, Google Labs

Google

Mountain View, CA • On-site

Full-time

Posted 2 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

31st of 186 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: Mountain View, CA, USA; San Francisco, CA, USA.
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience with software development in one or more programming languages (e.g., Python, C, C , Java, JavaScript).
  • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
  • Experience building products or features that apply machine learning models, with a specific focus on quality hill-climbing to achieve user outcomes.

Preferred qualifications:
  • Master's degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures and algorithms.
  • Experience with consumer product quality ownership in the ML/AI domain.
  • Experience taking products or efforts from "zero to one".

About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Labs is a group focused on incubating early-stage efforts in support of Google's mission to organize the world's information and make it universally accessible and useful. Our team exists to help discover and create new ways to advance our core products through exploration and the application of new technologies. We work to build new solutions that have the potential to transform how users interact with Google. Our goal is to drive innovation by developing new Google products and capabilities that deliver significant impact over longer timeframes.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
$207000 - $301000 (USD) 20% bonus target bonus equity benefits
Learn more about benefits at Google .
Responsibilities
  • Lead the "hill-climbing" quality initiative for specific verticals, starting with very small business (VSB) and small-to-medium business (SMB) use cases.
  • Partner with product management to optimize prompt quality for agentic systems and build robust ML pipeline evaluation frameworks.
  • Implement instrumentation, logging, A/B testing, and log analysis alongside in-product user feedback features.
  • Translate data insights and system performance analysis into actionable suggestions for product improvements.
  • Work cross-functionally in a lean, fast-paced "zero-to-one" environment to prototype and scale new full-stack AI applications from the ground up.

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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