Student Fall Researcher (Sep 2025)

Participate in research projects at Google, collaborating with teams to develop solutions for real-world, large-scale problems in computer science.

Your Role:

Key responsibilities include:

• Participating in research to develop solutions for real-world, large-scale problems.
• Collaborating with teams across Google, including Google DeepMind, Google Research, and Google Cloud, on research, engineering, and science roles.
• Engaging in exploratory projects that drive scientific advancement across a multitude of research areas.
• Supporting the creation of breakthrough technologies and innovative research challenges.
• Working on projects that vary in duration and location based on team and student requirements.
• Ensuring presence in one of the specified U.S. locations for the full duration of the engagement.

About You:

Candidates should meet the following 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 a 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).
• English proficiency is required.
• Must be located in the United States for the duration of the engagement.
• Intended for students not seeking full-time employment after this role, as the program is non-conversion eligible.
• Flexible in time commitment, length of opportunity, and onsite/remote nature, depending on project and host needs.
• Start dates typically range from August through December.
• To apply, an updated CV or resume and a current unofficial or official transcript in English (PDFs preferred) are required. Resume must include anticipated graduation dates (MM/YY) and coding language proficiencies.
• Applicants in Los Angeles County: Qualified applications with arrest or conviction records will be considered in accordance with the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.
• Preferred qualifications include: currently enrolled in a full-time degree program and returning after the internship, attending a U.S. degree program, prior research experience (internships, full-time, or lab), contributions to research communities (e.g., publishing papers), and experience with general purpose programming languages (e.g., Python, Java, JavaScript, C/C++).

Compensation & Benefits:

The US base salary range for this full-time position is $92,000–$122,000, determined by role, level, and location. Individual pay is based on work location, job-related skills, experience, and relevant education or training. Additional benefits typically include health insurance, paid time off, wellness programs, and access to Google’s employee resources. Compensation does not include bonus, equity, or additional benefits.

Training & Development:

Opportunities for professional growth include collaboration with leading researchers, exposure to cutting-edge research projects, and participation in academic collaborations. Students will gain experience in research, engineering, and science roles, supporting their academic and professional development.

Career Progression:

This program is non-conversion eligible and is best suited for students not seeking full-time employment immediately after the role. However, participants gain valuable research experience and exposure to advanced projects, enhancing future academic and research career prospects.

How to Apply:

To apply, submit an updated CV or resume and a current unofficial or official transcript in English (PDFs preferred). Ensure your anticipated graduation dates (MM/YY) and coding language proficiencies are listed on your resume. During the application process, you will have the opportunity to indicate your preferred working location from the specified U.S. cities.

This job may close before the stated closing date, you are encouraged to apply as soon as possible

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