About the role#
This is a full-time, paid research internship for PhD students. You will join a team to develop and execute a research agenda while working alongside peers, managers, and partner teams. Our research teams address technical challenges that influence both fundamental discovery and product development across the company.
What you'll do#
- Work closely with developers to discover, invent, and build at a large scale.
- Create experiments and prototype implementations.
- Design architectures.
- Conduct research on topics including artificial intelligence, machine perception, data mining, machine learning, natural language understanding, privacy, computer architecture, networking, operating systems, and data management.
What you'll need#
- Current enrollment in a PhD program in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or a related technical field.
- Experience in a computer science area such as Machine Learning, Deep Learning, Computer Vision, Data Science, or Algorithmic Foundations of Optimization.
- Experience as a researcher, whether through internships, full-time roles, or lab work.
- A history of contributing to research communities, such as publishing papers in major conferences or journals.
- Proficiency in at least one general-purpose programming language like Python, Java, JavaScript, or C/C++.
- English proficiency.
- You must be in your penultimate academic year or returning to a degree program after the internship.
Location & details#
- Locations: Toronto, ON, Canada, and Waterloo, ON, Canada.
- Modality: On-site.
- Term: Summer 2027.
- Duration: 12 weeks of full-time work outside of university term time.
- You must be located in Canada for the duration of the program.
About Google
Google develops software and hardware products for global users. The company focuses on areas including search, online video, artificial intelligence, and cloud computing. It maintains a large workforce with over 300,000 employees. Operations span multiple international locations with its headquarters based in Mountain View, California.
How to get in at Google
Applying to Google early provides a distinct advantage because recruiters review applications before the volume becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published, helping you apply among the first. This keeps you ahead of the pile when competition is high. You can also improve your response rates by reaching out to recruiters directly. Intern Insider surfaces the specific recruiters behind Google roles, allowing you to ask relevant questions or request a referral. This direct approach often yields better results than submitting to a general queue.
