Student Researcher, PhD, Winter/Summer
Listed on 2025-12-23
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Software Development
Data Scientist, Machine Learning/ ML Engineer
Student Researcher, PhD, Winter/Summer 2026
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 until July 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 opportunity is intended for students who are pursuing a PhD degree program in Computer Science or a related field. Our Student Researcher opportunities are flexible in time commitment, length of opportunity, and onsite/remote nature, depending on the specific project and host needs. Start dates for this role are typically January through July.
This program is intended for students who will not be seeking full time employment following this role, as this program is non‑conversion eligible.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for this internship program.
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:
- Mountain View, CA, USA
- Ann Arbor, MI, USA
- Atlanta, GA, USA
- Austin, TX, USA
- Cambridge, MA, USA
- Chicago, IL, USA
- Irvine, CA, USA
- Kirkland, WA, USA
- Los Angeles, CA, USA
- Madison, WI, USA
- New York, NY, USA
- Palo Alto, CA, USA
- Pittsburgh, PA, USA
- Goleta, CA, USA
- San Bruno, CA, USA
- Seattle, WA, USA
- San Francisco, CA, USA
- Sunnyvale, CA, USA
- Washington D.C., DC, USA
- 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 Interaction, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar areas).
- 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.).
The Student Researcher Program fosters academic collaborations by hiring students onto research projects aligned to company priorities in scientific advancement. The program offers placements on teams across Google, for research, engineering, and science roles. As a Student Researcher, you will have the opportunity to participate in research projects focused on developing solutions for real‑world, large‑scale problems.
Student Researcher projects are exploratory and experiences that drive scientific advancement across a multitude of research areas. Students will work collaboratively on projects that explore innovative research challenges and support the creation of breakthrough technologies.
Projects vary in duration and location based on team and student…
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