Research Intern, PhD, Summer

Applications will be reviewed on a rolling basis and it’s in the candidate’s best interest to apply early. The anticipated application window is open until February 26, 2027
, 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.

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.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for this internship program.

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.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based Interns. Benefits for this role include:

• Health, dental, vision insurance
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Interns receive paid time off for any official company holidays that fall within their internship term.

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
Mountain View, CA, USA;
Atlanta, GA, USA;
Austin, TX, USA;
Boulder, CO, USA;
Cambridge, MA, USA;
Bellevue, WA, USA;
Chicago, IL, USA;
Irvine, CA, USA;
Kirkland, WA, USA;
Madison, WI, USA;
New York, NY, USA;
Palo Alto, CA, USA;
Portland, OR, USA;
Pittsburgh, PA, USA;
Los Angeles, CA, USA;
Raleigh, NC, USA;
Durham, NC, USA;
Redmond, WA, USA;
Redwood City, CA, USA;
San Diego, CA, USA;
Goleta, CA, USA;
San Bruno, CA, USA;
Seattle, WA, USA;
San Francisco, CA, USA;
San Jose, CA, USA;
Santa Cruz, 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, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar areas).

• 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.).

Join us for a full-time, 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. Research happens across Google everyday, in many different teams. Our research has already impacted user-facing services across Google, including Search, Maps, and Google Now, and is central to the success of Google Cloud and our planet-scale computing,…