Student Researcher Phd Fall jobs at Google in United States, Mountain View
Google Data Scientist Research PhD Early Career Start United States, California, Mountain View
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- PhD in a quantitative discipline (e.g., Statistics, Biostatistics, Computer Science, Applied Mathematics, Operations Research, Economics ) or another discipline involving experimental design and quantitative analysis of data.
- 1 year of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
- Experience in one or more of the following areas: Coding (e.g., C/C++, Python, Java), Databases and querying (e.g., SQL, MySQL, MapReduce, Hadoop), Statistical analysis (e.g., R, Stata, SPSS, SAS), or Hypothesis testing.
Preferred qualifications:
- Experience with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators).
- Experience with statistical programming languages, controlled experimentation, causal inference, and statistical data analysis (e.g., linear models, multivariate analysis, stochastic models, sampling methods, etc.)
- Applied experience with machine learning on large datasets
- Ability to start full-time role in 2026.
These jobs might be a good fit
Google Student Researcher BS/MS Winter/Summer United States, California, Mountain View
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Applications will be reviewed on a rolling basis and it’s in the applicant’s best interest to apply early. The anticipated application window is open untilJuly 17, 2026, but may close earlier if all available projects are full. Applications submitted after the application window or once role is closed/projects are full will not be considered.
Participation in this program requires that you are located in the United States for the duration of the engagement.
This program is best suited for students who will not be seeking full time employment following this role, as this program is non-conversion eligible.
To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English (PDFs preferred).
Please ensure your anticipated graduation dates (in MM/YY) and any proficiency in coding languages are listed on the resume.
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
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:.- Currently enrolled in a Bachelor's or Master’s degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or related technical field.
- Experience in one area of computer science (e.g., Natural Language Understanding, Human Computer Interactions, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar areas).
Preferred qualifications:
- Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
- Currently attending a degree program in the United States.
- Experience as a researcher, including internships, full-time, or at a lab.
- Experience contributing research communities or efforts, including publishing papers in major conferences or journals.
- Experience with one or more general purpose programming languages (e.g., Python, Java, JavaScript, C/C++, etc.).
These jobs might be a good fit
Google Software Engineer GCE Control Plane Early Careers PhD United States, California, Mountain View
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- Bachelor's degree or equivalent practical experience.
- 5 years of experience in advertising, consultative sales, business development, online media environment, or marketing role, or 3 years of experience with an advanced degree.
- Experience working with advertisers, agencies, or clients.
Preferred qualifications:
- Master’s degree in a business related field.
- 3 years of experience managing digital marketing and advertising campaigns and relationships with customers or agencies.
- Experience with Google Ads, Display and Video 360, Search Ads 360, YouTube or similar digital advertising campaigns and platforms.
- Experience in customer-facing consulting or business.
- Experience optimizing and troubleshooting products or services.
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Google Research Intern PhD Summer United States, California, Mountain View
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Timing on when you can hear back will vary and can take upwards of 90+ days. If you haven’t heard from us in three months about an application, we likely proceeded with other candidates for that particular role. However, our recruiters might reach out if we find a different potential match for your skills, interests, and experience.
Participation in the internship program requires that you are located in the United States for the duration of the internship program.
This internship is intended for students in their penultimate academic year, who are pursuing a PhD degree program in Computer Science or a related field. If you are in an earlier academic year we encourage you to apply to the Student Researcher openings.
To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):
1. In the “Resume Section:” attach an updated CV or resume.
Please ensure your anticipated graduation date (in MM/YY) is listed on the resume.
2. In the “Education Section:” attach a current or recent unofficial or official transcript in English.
Under “Degree Status,” select “Now attending” to upload a transcript.
This role may also be located in our Playa Vista, CA campus.
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.
- Currently enrolled in a PhD degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or related technical field.
- Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar areas).
Preferred qualifications:
- Currently attending a degree program in the US and available to work full time for 12 weeks outside of university term time.
- Penultimate academic year or returning to a degree program after completion of the internship.
- Experience as a researcher, including internships, full-time, or at a lab.
- Experience contributing research communities or efforts, including publishing papers in major conferences or journals.
- Experience with one or more general purpose programming languages (e.g., Python, Java, JavaScript, C/C++, etc.).
These jobs might be a good fit
Google Student Researcher PhD Winter/Summer United States, California, Mountain View
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Applications will be reviewed on a rolling basis and it’s in the applicant's best interest to apply early. The anticipated application window is open untilJuly 17, 2026, but may close earlier if all available projects are full. Applications submitted after the application window or once the role is closed/projects are full will not be considered.
Participation in this program requires that you are located in the United States for the duration of the engagement.
This program is intended for students who will not be seeking full time employment following this role, as this program is non-conversion eligible.
To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English (PDFs preferred).
Please ensure your anticipated graduation dates (in MM/YY) and any proficiency in coding languages are listed on the resume.
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
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:.- Currently enrolled in a PhD degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or related technical field.
- Experience in one area of computer science (e.g., Natural Language Understanding, Human Computer Interactions, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar areas).
Preferred qualifications:
- Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
- Currently attending a degree program in the United States.
- Experience as a researcher, including internships, full-time, or at a lab.
- Experience contributing to research communities or efforts, including publishing papers in major conferences or journals.
- Experience with one or more general purpose programming languages (e.g., Python, Java, JavaScript, C/C++, etc.).
These jobs might be a good fit
Google Senior UX Researcher Google Beam United States, California, Mountain View
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- Bachelor's degree or equivalent practical experience.
- 6 years of experience in an applied research setting (e.g., product or academic), or similar.
- Experience with research methods (e.g., usability, studies, contextual inquiries, 1:1 interviews, unmoderated research studies).
- Experience with quantitative and qualitative research methods, including usability testing, log analysis, and surveys.
Preferred qualifications:
- Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or a related field.
- 5 years of experience conducting UX research on products and working with executive leadership (e.g., Director level and above).
- 3 years of experience managing projects, and working in a large, matrixed organization.
- Experience with Augmented Reality/Virtual Reality (AR/VR) and video Communications products.
- Experience with 0-1 products or features.
These jobs might be a good fit
Google Senior UX Researcher Health Fitness United States, California, Mountain View
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- Bachelor's degree or equivalent practical experience.
- 2 years of experience testing, launching software products, and building developer tools that improve developer velocity, code quality and code health (e.g., compilers, automated releases, code design and testing, test automation frameworks).
- 2 years of experience with software development in C++, Python, or Java programming languages.
- 1 year of experience in Continuous Integration/Continuous Deployment (CI/CD) and automation testing.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- Experience with building infrastructure for productivity for developers and engineers.
- Experience in engineering productivity, developer tools, test automation, test automation framework.
These jobs might be a good fit
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- PhD in a quantitative discipline (e.g., Statistics, Biostatistics, Computer Science, Applied Mathematics, Operations Research, Economics ) or another discipline involving experimental design and quantitative analysis of data.
- 1 year of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
- Experience in one or more of the following areas: Coding (e.g., C/C++, Python, Java), Databases and querying (e.g., SQL, MySQL, MapReduce, Hadoop), Statistical analysis (e.g., R, Stata, SPSS, SAS), or Hypothesis testing.
Preferred qualifications:
- Experience with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators).
- Experience with statistical programming languages, controlled experimentation, causal inference, and statistical data analysis (e.g., linear models, multivariate analysis, stochastic models, sampling methods, etc.)
- Applied experience with machine learning on large datasets
- Ability to start full-time role in 2026.
These jobs might be a good fit
