Student Researcher Internship in AI, Machine Learning, and Cloud Systems at Google (Bachelor's, Master's, PhD) Google in

Google is offering a Student Researcher internship for 2026, based in Bengaluru, India. This opportunity is open to students currently enrolled in Bachelor's, Master's, or PhD programs in Computer Science, Statistics, Linguistics, Mathematics, Economics, or related fields. The internship focuses on applied research in Artificial Intelligence, Machine Learning, Cloud Systems, Natural Language Processing, Computer Vision, Deep Learning, Quantum Information Science, and Software Engineering. Interns will collaborate with Google researchers and engineers to solve large-scale, real-world problems and contribute to the development of next-generation intelligent systems.

Key responsibilities include participating in exploratory research projects, supporting the creation of breakthrough technologies, and contributing to publications for major conferences or journals. The program offers placements across various Google research teams, including Google DeepMind, Google Research, and Google Cloud, allowing interns to match their skills and interests with suitable projects.

Applicants must demonstrate proficiency in programming languages such as Python, Java, C++, or Go, and have a strong interest in industry-level research. A track record of academic excellence or prior lab experience is preferred. Candidates must be located in India for the full duration of the internship and possess English proficiency. Preferred qualifications include contributing to research communities or publishing in major conferences or journals, and being enrolled full-time and returning to the program after the internship.

The internship is a paid position, though specific stipend details are not provided. The application deadline is March 31, 2026. To apply, candidates should submit an updated CV and current academic transcripts in English (PDF format) through the official Google Careers link. This is an excellent opportunity for students interested in advancing their research skills and gaining experience in cutting-edge technology fields at one of the world's leading tech companies.