Student Researcher, 2027

Google Research builds solutions for real-world, large-scale problems. This Student Researcher role lets you work alongside researchers and engineers on open problems across multiple domains.

What you'll do

• Take part in research that develops solutions for real-world, large-scale problems
• Read related work and frame a research question with your host team
• Design experiments, write code and analyse results
• Work in an area such as natural language, computer vision, machine learning, optimisation, quantum information science or data science
• Share findings with researchers and engineers through reports or internal talks

What they ask for

• Currently enrolled in a degree program such as Bachelor’s, Master’s or PhD
• Enrolled in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics or Natural Sciences
• Experience in at least one area of computer science
• Must remain in India for the whole engagement

Good to have

• Enrolled in a full-time degree program and returning to it after the internship
• Research experience through internships, full-time work or a lab
• Contributions to research communities, including papers in major conferences or journals
• Skill in one or more general-purpose languages such as Python, Java, JavaScript or C/C++

Selection process

1. Online application with resume and transcript
2. Team-matching or host conversations about research interests
3. Technical interviews on coding, maths or ML fundamentals and past projects

Sign in on Google Careers, upload your resume and transcript, choose your research interests, and submit your application before the deadline.

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Put these words in your resume and practise these questions before the interview.

Technical

1. Explain a complex machine learning or computer science concept you applied in a past project.
2. How would you approach designing an experiment to evaluate a new optimization algorithm?
3. Write a Python function to process a large dataset efficiently.

Scenario

1. What would you do if your initial research experiments yielded results contrary to your hypothesis?
2. How would you prioritize tasks if you had competing deadlines for code implementation and literature review?

HR

1. Why do you want to join Google Research for this internship?
2. Tell us about a time you worked on a challenging technical problem as part of a team.

About Google

1. How do research initiatives at Google DeepMind differ from product engineering teams, and how does your background fit this environment?

Practice questions written from the job listing, not this company's real interview questions.

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