Research Intern, PhD, Summer 2027

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 Canada 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.

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. 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 posting is for a future vacancy. Google utilizes AI tools to assist in assessing candidates in our hiring processes.

Minimum qualifications:

• 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 Developing, or similar areas).
  

Preferred qualifications:

• Currently attending a degree program in Canada 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, storage, and networking infrastructure.

Research Interns work closely with developers 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 management, and more.

Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Canada: $120000 (CAD) + 0% bonus target

Learn more about benefits at Google.

• Develop and execute a research agenda.
• Contribute to a productive and innovative team, including working with peers, managers, and partner teams.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Toronto, ON, Canada; Waterloo, ON, Canada.