Google Student Researcher, BS​/MS; Winter​/Summer

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The Student Researcher Program fosters academic collaborations by hiring students onto research projects aligned to company priorities in scientific advancement. The program offers placements on teams across Google for research, developing, 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. Students 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. When you apply, you will be considered for Student Researcher positions across all of Google's research teams, including Google Deep Mind, Google Research, Google Cloud and more.

This allows us to find the right project match for your skills and interests.

This opportunity is intended for students who are pursuing aBachelor's or Master’s degree programin Computer Science or a related 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 January through July.

This program is best suited for students who will not be seeking full time employment following this role, as this program is non-conversion eligible.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for this internship program.

• 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 Developing, 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 Canada.
• Experience as a researcher, including internships, full-time, or at a lab.
• Experience in contributing research communities or efforts, including publishing papers in major conferences or journals.

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