Drimva

Google

Student Researcher, PhD, Winter-Summer 2027

Mountain View, CA, USA +24 · Internship · Posted Sep 14, 2026

Location
Mountain View, CA, USA
Ann Arbor, MI, USA
Atlanta, GA, USA
Austin, TX, USA
Boulder, CO, USA
Cambridge, MA, USA
Chicago, IL, USA
Houston, TX, USA
Irvine, CA, USA
Kirkland, WA, USA
Los Angeles, CA, USA
Madison, WI, USA
New York, NY, USA
Palo Alto, CA, USA
Princeton, NJ, USA
Pittsburgh, PA, USA
Raleigh, NC, USA
Durham, NC, USA
Goleta, CA, USA
San Bruno, CA, USA
Seattle, WA, USA
San Francisco, CA, USA
San Jose, CA, USA
Sunnyvale, CA, USA
Washington D.C., DC, USA
Education
Currently enrolled in a PhD degree program in a listed or related technical field.
Visa sponsorship
Must be located in the United States for the engagement; select remote arrangements from within the United States or Canada may be permitted depending on project requirements. Candidates residing in other countries must relocate to the United States.

About the job

Conduct exploratory research with Google teams to develop solutions to real-world, large-scale problems and advance computing and intelligent systems.

What you'll do

  • Participate in research to develop solutions for real-world, large-scale problems.

What they ask for

  • Currently enrolled in a PhD degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or a related technical field.
  • Experience in one area of computer science, such as Machine Learning, Computer Vision, or Software Engineering.

Nice to have

  • Currently enrolled in a full-time degree program and returning after the internship; currently attending a degree program in the United States.
  • Research experience, contributions to research communities or publications, or experience with general-purpose programming languages such as Python, Java, JavaScript, or C/C++.

Pay

$118000 - $157000 (USD) base salary

Tools

Python, Java, JavaScript, C/C++

AI focus

Research may involve pioneering AI systems and developing the next generation of intelligent systems.

Model-written summary · the original posting is authoritative

First seen Oct 21, 2026 · Last verified Nov 5, 2026 (UTC)