Overview
Google is hiring students who are currently pursuing a Bachelor’s, Master’s, or PhD degree for Student Researcher roles. The projects, duration, and location may vary depending on the team and your availability. You must be based in one of the approved countries for the entire duration of the role. After applying, you will be considered for multiple research teams such as DeepMind, Google Research, and Google Cloud, and they will match you with a project based on your skills and interests.
Google Hiring Bachelor’s, Master’s & PhD Students 2026
Google LLC is an American technology company that works in areas like online advertising, search engines, email, cloud computing, software, quantum computing, e-commerce, electronics, and artificial intelligence (AI). The BBC has called it “the most powerful company in the world,” and it is one of the world’s most valuable brands. Its parent company, Alphabet Inc., is considered part of Big Tech.
Job Overview:
| Company Name | |
| Job Role | Researcher |
| Experience | 0 – 3 yrs |
| Qualification | Bachelor’s, Master’s, or PhD degree Student |
| Mode of Hiring | Online |
| Salary | As per Norms |
| Job Location | PAN India |
| Employment Type | Full Time |
Please complete your application before March 31, 2026.
Participation in this program requires that you are located in India for the duration of the engagement.
Job Description:
Researchers across Google are working to advance in computing and build the next generation of intelligent systems for all Google products. To achieve this, we invest in foundational research and work on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Whether we’re shaping the future of sustainability, optimizing algorithms, or pioneering AI systems, our teams strive to continuously progress science, advance society, and improve the lives of billions of people.
Student Researcher projects are exploratory and direct experiences that drive scientific advancement across a multitude of research areas. Students will work collaboratively on projects that explore innovative research challenges and support the creation of breakthrough technologies.
Job Responsibilities
Participate in research to develop solutions for real-world, large-scale problems.
Eligibility Criteria:
Qualifications:
- Currently enrolled in Bachelor’s, Master’s, or PhD degree program in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences.
- Experience in one area of computer science (e.g., Natural Language Understanding, Human Computer Interactions, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar areas).
Preferred qualifications:
- Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
- Experience contributing research communities or efforts, including publishing papers in major conferences or journals.
- Experience with one or more general purpose programming languages (e.g., Python, Java, JavaScript, C/C++, etc.).
Salary:
The exact pay will depend on the candidate’s skills, experience, qualifications, location, and applicable employment laws.
Selection Process :
- Online Application
- Resume Shortlisting
- Online Assessment
- Technical Interview
- Behavioral / HR Interview
- Offer & Onboarding
How to Apply
Candidates can apply through the official company careers website. & complete the registration and submit the application before the deadline.
Click here to Register & Apply Now!
For more details to apply, Click here!
FAQ:
What type of interview can I expect at Google?
You may have technical interviews (coding, algorithms, data structures) and research-focused interviews (problem-solving, project discussion, or domain-specific questions).
There can also be behavioral interviews to assess teamwork and communication.
How should I prepare for a Google research interview?
- Review your field’s fundamentals (AI, ML, systems, cloud, etc.)
- Practice coding and problem-solving on platforms like LeetCode or HackerRank
- Be ready to discuss your past projects and research experience in detail
How long are the interviews?
Interviews usually range from 45 minutes to an hour each. There can be multiple rounds, including coding, research discussions, and behavioral interviews.
How do I prepare for problem-solving questions?
- Practice algorithms, data structures, and optimization problems
- Review past research-related challenges in your field
- Explain your thought process clearly during the interview
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