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Google Mathematics Jobs (NOW HIRING)

Google

Data Scientist

San Bruno, CA · On-site

... Google policy. Responsibilities * Collaborate with stakeholders to translate business needs into clear analytical questions, evaluation metrics, and mathematical models. * Gather business goals ...

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Google Mathematics information

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$22.5K

$58.8K

$94.5K

How much do google mathematics jobs pay per year?

As of Sep 6, 2026, the average yearly pay for google mathematics 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 a Google Mathematics?

A Google Mathematics job involves applying advanced mathematical concepts to solve complex problems in areas like artificial intelligence, machine learning, cryptography, data analysis, and algorithm design. Mathematicians at Google work on optimizing search algorithms, improving AI models, enhancing data compression, and developing new computational techniques. These roles often require expertise in areas such as probability, statistics, optimization, and discrete mathematics. Candidates typically have advanced degrees (master's or Ph.D.) in mathematics, computer science, or related fields.

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

To thrive in a Google Mathematics role, you need a robust background in applied mathematics, statistics, and computer science, typically supported by an advanced degree such as a Master's or Ph.D. Proficiency in programming languages like Python or C++, mathematical modeling tools, and familiarity with large-scale data systems are commonly required. Strong problem-solving skills, creativity, and the ability to clearly communicate complex ideas are highly valued. These competencies are crucial to develop innovative solutions for Google's data-driven projects and to contribute successfully within multidisciplinary teams.

What are typical projects or challenges a Google Mathematics professional might work on?

Professionals in Google Mathematics roles often engage in projects that require designing new algorithms, optimizing search or recommendation systems, and developing advanced statistical models to support Google's products and services. They may tackle challenges like handling large datasets, improving machine learning efficiency, or solving complex optimization problems with practical, real-world impact. Teams are typically collaborative and multidisciplinary, so you'll work with engineers, researchers, and product managers to turn mathematical research into deployable solutions. The dynamic work environment encourages continuous learning and offers opportunities for career growth into technical leadership or specialized research fields. Overall, Google Mathematics professionals play a crucial part in driving innovation at the company.

Does Google hire mathematicians?

Yes, Google hires mathematicians for roles in data analysis, research, and engineering that require strong mathematical skills, including expertise in algorithms, statistics, and modeling. These positions often involve working with large datasets, machine learning, and developing innovative solutions, and typically require advanced degrees such as a master's or Ph.D. in mathematics or related fields.

What cities are hiring for Google Mathematics jobs?

Cities with the most Google Mathematics job openings:

What are the most commonly searched types of Google Mathematics jobs?

The most popular types of Google Mathematics jobs are:

What states have the most Google Mathematics jobs?

States with the most job openings for Google Mathematics jobs include:

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

The top searched job categories for Google Mathematics jobs are:

Google Mathematics jobs near you
Infographic showing various Google Mathematics job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $58,837 per year, or $28.3 per hour.

Field Solutions Architect II, Generative AI, Google Public Sector

Google

Reston, VA • On-site

$65.50 - $86.25/hr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Key responsibilities

  • Support the Rapid Innovation team in constructing rapid prototype generative AI applications tailored to public sector customers.

  • Demonstrate generative AI capabilities by working with customers on application prototypes, tuning models, and optimizing performance.

  • Build repeatable technical assets such as scripts, templates, and reference architectures to enable customers and internal teams.

Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 247 rated software companies

Job description

info_outline
X Must be a US Citizen to meet customer and compliance requirements, including potential access to classified information.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Reston, VA, USA; Washington D.C., DC, USA.
Minimum qualifications:
  • Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
  • 6 years of experience in Python or other programming languages in machine learning (e.g., Java, C , Go).
  • Experience in applied AI, with a focus on designing and evaluating systems around foundation models (e.g., prompt engineering, fine-tuning, retrieval-augmented generation (RAG), orchestrating model interactions with external tools to deliver solutions).
  • Experience architecting, deploying, or managing solutions on a cloud platform.
  • Active, or the ability to obtain, Top Secret/SCI security clearance.

Preferred qualifications:
  • Master's degree in Computer Science, Engineering, or a related technical field.
  • Experience with distributed training and optimizing performance versus costs.
  • Experience supporting or selling to U.S. federal customers.
  • Experience training and fine tuning models in environments (e.g., image, language, recommendation) with accelerators.
  • Experience in system design with the ability to architect and explain data pipelines, ML pipelines, and ML training and serving approaches.
  • Ability to demonstrate a bias for action and apply product insights to solve immediate customer issues and unlock long-term value.

About the job
As a Field Solutions Architect, you will support the Rapid Innovation team in Google Public Sector. You will construct rapid prototype generative AI applications tailored to public sector customers. You will leverage generative AI technologies to develop solutions and validate their efficacy. You will swiftly showcase the latest generative AI capabilities through direct collaboration with customers.
In this role, you will closely collaborate with our Product team to eliminate obstacles and shape the future trajectory of our offerings. In addition, you will disseminate the lessons learned to customers and internal Google teams. Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $152000 - $221000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Be a trusted advisor to customers by understanding their business process and objectives. Design and build end-to-end genAI-driven solutions spanning AI, data, and infrastructure.
  • Demonstrate how Google Cloud is differentiated by working with customers on application prototypes; demonstrating generative AI features; prompting and tuning models; and optimizing model performance, profiling, and benchmarking. Troubleshoot and find solutions to issues in generative AI applications.
  • Build repeatable technical assets such as scripts, templates, reference architectures, etc. to enable customers and internal teams. Work with peers to include the full cloud stack into overall architecture.
  • Work cross-functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements.
  • Coordinate regional field enablement with leadership and work closely with product and partner organizations on external enablement. Travel as needed.

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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