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Google Mathematician Jobs (NOW HIRING)

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

PhD degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or ... Position reports to the Google Venice, CA office & may allow for a hybrid schedule per Google ...

Senior Software Engineer

Mountain View, CA · On-site

$144K - $190K/yr

Master's degree in Computer Science, Engineering, Computer Information Systems, Mathematics ... Learn more about benefits at Google . Artificial intelligence will be one of humanity's most ...

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 ...

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Google Mathematician information

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$27.5K

$56.7K

$60.5K

How much do google mathematician jobs pay per year?

As of Aug 21, 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.

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.

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 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.

Does Google hire mathematicians?

Yes, Google hires mathematicians for roles involving data analysis, algorithms, cryptography, and research. These positions often require strong analytical skills, proficiency in programming, and advanced degrees in mathematics or related fields.
More about Google Mathematician jobs

What cities are hiring for Google Mathematician jobs?

Cities with the most Google Mathematician job openings:

Infographic showing various Google Mathematician 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 $56,723 per year, or $27.3 per hour.

Staff Software Engineer, AI/ML, Google Public Sector with Security Clearance

Google, Inc.

Reston, VA • On-site

Other

Re-posted 24 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 245 rated software companies


Job description

In most instances, this position requires in-person interviews as part of the hiring process.Minimum qualifications: * Bachelor's degree or equivalent practical experience. * 8 years of experience programming in C++, Java, Python, Kotlin or Go. * Experience in technical leadership, including defining technical road maps, delivering projects, and maintaining code quality standards. * Experience in parallel computing paradigms, hardware-level optimization, and low-level accelerator optimization. Preferred qualifications: * Master's degree or PhD in a quantitative discipline (e.g., Computer Science, Physics, Applied Mathematics, or similar). * 8 years of experience designing, building, and operating large-scale distributed data systems and production machine learning deployments. * Experience deploying modern deep learning architectures using frameworks like PyTorch or TensorFlow on large-scale clusters. * Experience with cloud-native infrastructure (Docker, Kubernetes) and managing distributed filesystems and cloud object storage. * Active, or the ability to obtain, a Secret security clearance. 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. As a part of the technical Senior AI/ML Software Engineer, you will lead the architecture and deployment of large-scale distributed data systems and advanced machine learning pipelines. In this role, you will design infrastructure capable of analyzing high-throughput data streams. You will bridge the gap between High-Performance Computing (HPC) and modern AI applications, optimizing complex inference workloads for specialized hardware accelerators while guiding cross-functional engineering 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: $207000 - $301000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities * Architect and operate advanced data synthesis pipelines and AI-based retrieval applications. * Manage petabyte-scale data ingestion and synchronization across compute environments, including local storage, cloud backends, and on-prem resources. * Optimize highly parallel numerical operations and ML inference algorithms for specialized hardware accelerators. * Lead technical direction and provide engineering mentorship for groups developing complex production software systems. * Implement rigorous data life-cycle policies to ensure system resilience, data integrity, and fault recovery at scale. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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