Google Student Researcher Jobs 2026
Research & Engineering | Bengaluru
Job Overview
Google is hiring Student Researchers for its 2026 research program in Bengaluru, India.
This opportunity is designed for students pursuing Bachelor’s, Master’s, or PhD programs who are interested in advanced computer science research, artificial intelligence, machine learning, data science, optimization, and next-generation computing technologies. As part of the program, candidates will work on exploratory research projects alongside Google researchers, engineers, and scientists to solve large-scale real-world challenges.
💡 Why this role?
The role offers hands-on exposure to cutting-edge research initiatives across Google Research, Google DeepMind, Google Cloud, and other advanced technology teams, providing an incredible launchpad for future innovators.
Roles & Responsibilities
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Participate in advanced research projects addressing large-scale real-world problems.
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Collaborate intimately with experienced researchers, software engineers, and leading data scientists across multiple global teams.
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Contribute to innovative AI and computing research initiatives, spanning machine learning, NLP, computer vision, and optimization.
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Assist in conducting exploratory research analysis, rigorous experimentation, and building functional research prototypes.
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Contribute to technical documentation, research publications, and actively support academic and industry-focused research collaborations.
Eligibility Criteria
Education
Currently enrolled in a Bachelor’s, Master’s, or PhD degree program. Eligible fields include Computer Science, Linguistics, Statistics, Applied Mathematics, Economics, or Natural Sciences.
Experience
Research experience preferred. Academic project or research exposure in AI/ML/Data Science is highly advantageous. Expected to return to a degree program after internship completion.
Technical & Core Competence
Strong programming foundations in Python, Java, JavaScript, or C/C++. Demonstrated aptitude for research methodologies, machine learning, deep learning, NLP, computer vision, and optimization algorithms. Experience publishing papers is a plus.
How to Apply
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