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Google Math Jobs (NOW HIRING)

Bachelor's degree in Computer Science, Engineering, Computer Information Systems, Mathematics ... Learn more about benefits at Google . Position reports to the Google New York, NY office & may ...

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a ... About the job Help serve Google's worldwide user base of more than a billion people. Data ...

Instructional/Certified - Position - MATHEMATICS-HIGH SCHOOL Job Number 3700270706 Start Date 08/03 ... Demonstrated proficiency with Microsoft Office, Google Workspace, Teams, and educational technology ...

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Google Math information

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$22.5K

$58.8K

$94.5K

How much do google math jobs pay per year?

As of Jul 17, 2026, the average yearly pay for google math in the United States is $58,837.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $70,000.00 per year, depending on experience, location, and employer.

What is the difference between Google Math vs Google Data Analyst?

AspectGoogle MathGoogle Data Analyst
Required CredentialsMathematics degree or related certificationsDegree in Statistics, Data Science, or related field
Work EnvironmentResearch, academic, or technical teamsBusiness, marketing, and product teams
Industry UsageAcademic, research, and technical sectorsCorporate, tech, and marketing sectors
Common Search/ComparisonFocus on mathematical theories and researchFocus on data analysis, reporting, and insights

Google Math typically involves theoretical and research-focused roles requiring advanced mathematics skills, while Google Data Analysts focus on interpreting data to inform business decisions. Both roles require analytical skills but differ in application and industry context.

What are the key skills and qualifications needed to thrive as a Google Software Engineer specializing in Mathematics, and why are they important?

To thrive as a Google Software Engineer specializing in Mathematics, you need a strong background in computer science, algorithms, and advanced mathematics, typically supported by a relevant degree. Familiarity with programming languages such as Python, C++, and Java, as well as experience using mathematical libraries and tools like TensorFlow or MATLAB, is important. Analytical thinking, problem-solving, and effective teamwork are essential soft skills for tackling complex challenges and collaborating on innovative solutions. These skills ensure robust, efficient solutions to mathematical and computational problems that support Google's technology and services.

What are Google Math jobs?

Google Math jobs refer to positions at Google that require strong mathematical skills and expertise. These roles often involve working in data analysis, machine learning, research, software engineering, or algorithm development. Employees in these positions use mathematical concepts to solve complex problems, optimize systems, and develop new technologies. Candidates typically have backgrounds in mathematics, statistics, computer science, or related fields.

What types of projects do mathematicians at Google typically work on, and how do they collaborate with interdisciplinary teams?

Mathematicians at Google often contribute to projects involving algorithm development, data analysis, machine learning, and optimization problems. They collaborate closely with software engineers, data scientists, and product managers to solve complex technical challenges, such as improving search algorithms or enhancing security protocols. The work environment is highly collaborative and fast-paced, with frequent brainstorming sessions and opportunities to contribute mathematical expertise to innovative products. This role offers continuous learning and the chance to see your mathematical solutions impact millions of users globally.
More about Google Math jobs
What states have the most Google Math jobs? States with the most job openings for Google Math jobs include:
Infographic showing various Google Math job openings in the United States as of July 2026, with employment types broken down into 62% Full Time, and 38% Part Time. Highlights an 100% In-person job distribution, with an average salary of $58,837 per year, or $28.3 per hour.
Staff Software Engineer

Staff Software Engineer

Google

New York, NY • On-site

Full-time

Posted 7 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

40th of 209 rated software companies


Job description

Minimum qualifications:
  • Bachelor's degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics or a related field and 4 years of experience in the job offered or in a Software Engineer-related occupation.
  • Alternatively, will accept a Master's 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 Software Engineer-related occupation.
  • Position requires 2 years of experience in the following: Development of machine learning models for speech and audio domains or application of reinforcement learning for sequential decision making; Data pipeline development for managing and processing large-scale user data; Software design and architecture for complex systems; Python or C for machine learning applications; Leading ML design for organization-scale projects

About the job
The US base salary range for this full-time position is $207,000 - $300,000 20% 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
  • Design, develop, test, and deploy large-scale software solutions for a state-of-the-art personalized AI assistant
  • Architect scalable data pipelines and user models for high-fidelity training, simulation, and performance evaluation
  • Develop robust evaluation benchmarks, autoraters, and adversarial tests to measure and improve personalization quality
  • Collaborate with research scientists and engineers to ship product features and provide technical leadership on high-impact projects
  • Review code to ensure best practices and mentor team members on system design and engineering excellence. Define the technical vision and system architecture for key components, ensuring long-term scalability and maintainability.

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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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