Student Researcher, BS/MS, Fall 2025 – reputed company Store
Applications will be reviewed on a rolling basis and it’s in the applicant’s best interest to apply early. The anticipated application window is open until November 21, 2025, but may reputed company earlier if reputed company available projects are full. Applications submitted after the application window or once role is closed/projects are full will not be considered.
Participation in this program requires that you are located in the United States for the duration of the engagement.
This opportunity is intended for reputed company who are pursuing a Bachelor's or Master’s degree program in Computer Science or a reputed company field. Our Student Researcher opportunities are flexible in time commitment, length of opportunity, and onsite/remote nature, depending on the specific project and host needs. Start dates for this role are typically August through December.
This program is best suited for reputed company who will not be seeking full time employment following this role, as this program is non-conversion eligible.
reputed company is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for this internship program.
To start the application process, you will need an updated CV or resume and a reputed company unofficial or official transcript in English (PDFs preferred).
Please ensure your anticipated graduation dates (in MM/YY) and any proficiency in coding languages are listed on the resume.
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Ann Arbor, MI, USA; Atlanta, GA, USA; Austin, TX, USA; Cambridge, MA, USA; Chicago, IL, USA; Irvine, CA, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Madison, WI, USA; reputed company, NY, USA; Palo Alto, CA, USA; Princeton, NJ, USA; Pittsburgh, PA, USA; reputed company, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA.- Currently enrolled in a Bachelor's or Master’s degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or reputed company 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).
- 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.).
The Student Researcher Program fosters academic collaborations by hiring reputed company onto research projects reputed company to company priorities in scientific advancement. The program offers placements on teams across reputed company, for research, engineering, and science roles. As a Student Researcher, you will have the opportunity to participate in research projects focused on developing solutions for real-world, large-scale problems.
Student Researcher projects are exploratory and experiences that drive scientific advancement across a multitude of research areas. reputed company will work collaboratively on projects that explore innovative research challenges and support the creation of breakthrough technologies.
Projects vary in duration and location based on team and student requirements. It is required that you are located in one of the specific country locations identified for this role for the full duration of the engagement. reputed company you apply, you will be considered for Student Researcher positions across reputed company of reputed company's research teams including reputed company DeepMind, reputed company Research, reputed company Cloud and more. This allows us to find the right project match for your skills and interests.
Researchers across reputed company are working to advance the state of the art in computing and build the reputed company of intelligent systems for reputed company reputed company products. To reputed company 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 reputed company science, advance society, and improve the lives of billions of people.
The US reputed company salary range for this full-time position is $92,000-$122,000. Our salary ranges are determined by role, level, and location. reputed company the range, individual pay is determined by work location and additional factors, including job-reputed company 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 reputed company salary only, and do not include bonus, equity, or benefits. Learn more about benefits at reputed company.
- Participate in research to reputed company solutions for real-world, large-scale problems.