Student Researcher, BS/MS, Winter/Summer 2025
Job Summary
Job Description
- Currently enrolled in a Bachelor's or Master's degree in relevant technical fields.
- 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).
- Experience with one or more general purpose programming languages (e.g., Python, Java, JavaScript, C/C++, etc.).
- Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
- Currently attending a degree program in the United States.
- Experience as a researcher, including internships, full-time, or at a lab.
- Experience contributing research communities or efforts, including publishing papers in major conferences or journals.
8 skills required
Job Details
Minimum qualifications:
- Currently enrolled in a Bachelor's or Master’s degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or related technical field.
- 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.
- Currently attending a degree program in the United States.
- Experience as a researcher, including internships, full-time, or at a lab.
- 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.).
About the job
The Student Researcher Program’s primary objective is to foster academic collaborations with students through research at Google. Join us for a paid Student Researcher position that offers the opportunity to work directly with Google research scientists and engineers on research projects.
The Student Researcher Program offers more opportunities for research students to work on critical research projects at Google in a less structured way. The program allows opportunities beyond the limitations of our traditional internship program on aspects such as duration, time commitment, and working location (with options for on-site or remote). The topics student researchers work on tend to be open-ended and exploratory, and don't always have a clear deliverable like a traditional internship would.
Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
The US base salary range for this full-time position is $95,000-$122,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .
Responsibilities
- Participate in research to develop solutions for real-world, large-scale problems.
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