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Google Mathematician Jobs (NOW HIRING)

Google

Senior Software Engineer

New York, NY · On-site

$134K - $176K/yr

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 ...

Google

Staff Software Engineer

New York, NY · On-site

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 ...

Google

Staff Data Scientist, Product

Kirkland, WA · On-site

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 ...

Google

Data Scientist

San Bruno, CA · On-site

Bachelor's degree in Statistics, Applied Mathematics, Data Science, Business Analytics, Economics ... Learn more about benefits at Google . Position reports to the Google San Bruno, CA office & may ...

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Google Mathematician information

See salary details

$27.5K

$56.7K

$60.5K

How much do google mathematician jobs pay per year?

As of Jul 11, 2026, the average yearly pay for google mathematician in the United States is $56,723.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $59,500.00 per year, depending on experience, location, and employer.

How do Google mathematicians typically collaborate with software engineers and research scientists on complex projects?

At Google, mathematicians often work closely with software engineers and research scientists to solve challenging problems in areas like machine learning, data analysis, and algorithm optimization. Collaboration usually involves translating abstract mathematical concepts into practical algorithms, reviewing technical designs, and providing theoretical insights that guide project direction. Teamwork is highly encouraged, with mathematicians participating in regular meetings, code reviews, and brainstorming sessions to ensure solutions are both mathematically sound and technically feasible. This multidisciplinary environment provides valuable opportunities for professional growth and learning.

What does a Google Mathematician do?

A Google Mathematician applies advanced mathematical concepts and techniques to solve complex problems in areas like search algorithms, machine learning, data analysis, and optimization. They collaborate with engineers and researchers to develop models that improve Google's products and services. Their work often involves statistical analysis, algorithm development, and contributing to innovative solutions that impact millions of users worldwide.

What are the key skills and qualifications needed to thrive as a Google Mathematician, and why are they important?

To excel as a Google Mathematician, you need a strong background in advanced mathematics, problem-solving, and data analysis, typically supported by a graduate degree in mathematics or a related field. Familiarity with programming languages (such as Python or C++), statistical software, and machine learning frameworks is commonly required. Exceptional analytical thinking, creativity, and effective communication are vital soft skills for innovating and working on interdisciplinary teams. These abilities are crucial for developing algorithms, solving complex problems, and driving impactful solutions in a technology-driven environment.

What is the difference between Google Mathematician vs Data Scientist?

AspectGoogle MathematicianData Scientist
Required CredentialsAdvanced degrees in mathematics or related fieldsDegree in statistics, computer science, or related fields
Work EnvironmentResearch-focused, theoretical problem solving at GoogleData analysis, modeling, and insights generation across projects
Employer & Industry UsagePrimarily in tech companies like Google, research institutionsAcross industries including tech, finance, healthcare

Google Mathematicians focus on theoretical research and complex mathematical problem solving, often working on foundational algorithms. Data Scientists analyze data to extract insights, build models, and support business decisions. While both roles require strong analytical skills, Google Mathematicians are more research-oriented, whereas Data Scientists are more application-driven.

More about Google Mathematician jobs
What cities are hiring for Google Mathematician jobs? Cities with the most Google Mathematician job openings:
What job categories do people searching Google Mathematician jobs look for? The top searched job categories for Google Mathematician jobs are:
Google Mathematician jobs near you
Infographic showing various Google Mathematician job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 9% Part Time, 1% Temporary, and 5% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $56,723 per year, or $27.3 per hour.
Senior Software Engineer

Senior Software Engineer

Google

New York, NY • On-site

$134K - $176K/yr

Full-time

Re-posted 10 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 100 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 5 years of progressive post-baccalaureate 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 3 years of experience in the job offered or in a Software Engineer-related occupation.
  • Position requires 3 years of experience in the following: C for software development; Algorithm design and data structure selection for system scalability; Root cause analysis for debugging software and ML systems; Productionizing large language and multimodal models or ML infrastructure development for model deployment, evaluation, and optimization; and Software design and systems architecture for performance and reliability.

About the job
The US base salary range for this full-time position is $189,600 - $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
  • Build and enhance serving solutions for Gemini models, tailoring configurations to meet diverse client needs and testing for optimal performance.
  • Develop new infrastructure to support advanced capabilities, such as large-scale streaming and specialized audio logic within the orchestration framework.
  • Guarantee the quality of Gemini models in production by triaging system issues, debugging code, and implementing robust monitoring systems.
  • Collaborate with peers and stakeholders through design and code reviews to establish and maintain best practices in software development.
  • Drive the short-term technical vision and roadmap for your team, evolving strategies to meet future requirements and infrastructure needs.

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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