Research Intern, PhD, Summer

Google place Mountain View, CA, USA ;
Atlanta, GA, USA ; +26 more  Intern & Apprentice

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.

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.

We also encourage you to apply to our Software Engineering PhD internship, where research-focused projects are available. If you are in an earlier academic year, we encourage you to apply to the Student Researcher opening.

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

San Francisco/Los Angeles applicants:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco/Los Angeles County 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:
  Includes 5 discretionary sick days per instance to prioritize your well-being, in addition to all applicable local and state statutory sick leave.
• 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.

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, storage, and networking infrastructure.

Research Interns work closely with engineers to discover, invent, and build at the largest scale. From creating experiments and prototyping implementations to designing architectures, Research Interns work on challenges in artificial intelligence, machine perception, data mining, machine learning, natural language understanding, privacy, computer architecture, networking, operating systems, storage and data…