Student Researcher, 2027

Google builds search, cloud, and AI products, and its research groups like Google DeepMind and Google Research run student programs pairing students with researchers on open problems. A single application is considered across all Google research teams, with project duration and start dates varying by team.

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

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. How would you approach designing an experiment for a machine learning research problem with large-scale data?
2. Explain a complex algorithm or data structure you have used in your past projects and why you chose it.
3. How do you handle overfitting when training deep learning models in Python?

Scenario

1. What would you do if your initial research hypothesis is disproven by your experimental results?
2. How would you prioritize tasks if you are assigned multiple open-ended research questions by your host team?

HR

1. Can you walk us through your best research project or publication and explain your specific contribution?
2. Why are you interested in joining Google's research teams for your internship?

About Google

1. How do you think recent advancements from Google DeepMind or Google Research impact large-scale AI applications?

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

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