Student Researcher, 2027

Google is hiring student researchers to work on research problems at scale. Projects vary in length and location depending on the team and student needs, supporting various research groups such as Google DeepMind, Google Research, and Google Cloud.

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 in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences
• Experience in at least one area of computer science, such as natural language, human-computer interaction, computer vision, machine learning, deep learning, algorithmic foundations of optimisation, quantum information science, data 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. Shortlisting by research teams
3. Team-matching or host conversations about research interests
4. Technical interviews on coding, maths, or ML fundamentals and past projects
5. Offer confirmation of project, duration, and start date

Open the Student Researcher listing on Google Careers, sign in with your Google account, upload your resume and transcript, choose your research interests, and submit before 4 December 2026.

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

Technical

1. Explain a machine learning or optimization algorithm you have used in a past project.
2. How would you approach designing an experiment to test a new research hypothesis?
3. Write a Python function to process a dataset and handle missing values.

Scenario

1. What would you do if your initial experiment results contradict your research hypothesis?
2. How would you prioritize tasks if you are assigned multiple open-ended research goals by your host team?

HR

1. Walk me through your best research or project work, including the problem, method, and results.
2. Why are you interested in joining Google's research teams?

About Google

1. How do Google's research groups like Google DeepMind contribute to real-world products?

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

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