Job Overview
Role: Student Researcher Location: Bangalore, India Experience: Freshers (Current Students) Qualification: B.E / B.Tech / B.Sc / BA / M.E / M.Tech / M.Sc / MA / PhD Focus Areas: AI, ML, NLP, Computer Vision, Robotics, Data Science Application Deadline: 31 March 2026 Job Type: Research Internship / Part-Time (Program based)
Job Description
For the Google Recruitment 2026 drive, the Student Researcher Program offers placements on teams across Google, including Research, Engineering, and Science roles. Unlike a standard internship, this program is designed to be flexible and fosters deep academic collaboration.
As a Student Researcher, you will participate in research projects focused on developing solutions for real-world, large-scale problems. You will utilize the latest computer science techniques developed by skilled software developers and research scientists to optimize algorithms and build intelligent systems.
Roles and Responsibilities
As a Student Researcher at Google, your key responsibilities will include:
- Research & Development: Participating in research to develop solutions for real-world, large-scale problems.
- Innovation: Working on projects that utilize the latest Computer Science techniques (LLMs, Generative AI, Optimization).
- Collaboration: Collaborating with research scientists and software engineers to advance the state of the art in computing.
- Contribution: Contributing to research communities, potentially leading to publications in major conferences or journals.
- Experimentation: Designing and conducting experiments to validate research hypotheses.
Skills and Eligibility Criteria
To be eligible for Google Recruitment 2026, candidates must meet the following criteria:
- Educational Background:
- Currently enrolled in a Bachelor’s, Master’s, or PhD degree program.
- Fields: Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences.
- Research Focus (One or more areas):
- Natural Language Understanding (NLP)
- Computer Vision & Machine Learning
- Deep Learning & Generative AI
- Algorithmic Foundations of Optimization
- Quantum Information Science
- Human-Computer Interaction (HCI)
- Preferred Qualifications:
- Experience with general-purpose programming languages (e.g., Python, Java, JavaScript, C/C++).
- Experience contributing to research communities, including publishing papers in major conferences or journals.
- Must be enrolled