Research Intern, PhD, Summer 2027

Job Description

Job Title: Research Intern, PhD, Summer 2027. Location

• Multiple locations across the United States, including Mountain View, Atlanta, Austin, Boulder, Cambridge, Bellevue, Chicago, Irvine, Kirkland, Madison, New York, Palo Alto, Portland, Pittsburgh, Los Angeles, Raleigh, Durham, Redmond, Redwood City, San Diego, Goleta, San Bruno, Seattle, San Francisco, San Jose, Santa Cruz, Sunnyvale, and Washington, D.C.

Job Type:

• Full-time paid internship
• 12 to 14 weeks
• Summer 2027

Responsibilities:

• Develop and execute a research agenda.
• Contribute to a productive and innovative research team.
• Work with peers, managers, engineers, and partner teams.
• Create experiments and prototype implementations.
• Design architectures and research solutions to challenging technical problems;
• Conduct research across areas including artificial intelligence, machine perception, data mining, machine learning, natural language understanding, privacy, computer architecture, networking, operating systems, storage, data management, and quantum information science.
• Contribute research that can influence product development and technology used at large scale.
• Share research and tools through academic publications, open-source projects, and applications to products.

Qualifications:

• Currently enrolled in a PhD program in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or a related technical field.
• Experience in at least one computer science area, such as Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar fields.
• English proficiency is required for effective global collaboration and communication;
• Internship participants must be located in the United States for the duration of the internship.

Preferred:

• Currently attending a degree program in the United States and available to work full-time for 12 weeks outside university term time.
• In the penultimate academic year or returning to a degree program after completing the internship.
• Research experience through internships, full-time positions, or laboratory work.
• Experience contributing to research communities or efforts, including publishing papers in major conferences or journals.
• Experience with a general-purpose programming language such as Python, Java, JavaScript, C, C++, or similar.

Benefits and Compensation:

• $118,000 to $157,000 USD.
• 0% bonus target.
• Health, dental, and vision insurance.
• Paid sick time, including five discretionary sick days per instance in addition to applicable statutory leave.
• Paid time off for official company holidays occurring during the internship.
• Personal and professional development opportunities;
• Executive speaker series.
• Community-building activities.
• Opportunity to work closely with engineers and research teams at large scale.

Application Instructions:

• Applications are reviewed on a rolling basis, so candidates are encouraged to apply early.
• The anticipated application window is open until February 26, 2027, but may close earlier if all available projects are filled.
• Application responses may take 90 days or more. If there is no response within three months, Google likely proceeded with another candidate for that particular role, although recruiters may contact candidates about other potential matches.
• Submit an updated CV or resume and a current unofficial or official transcript in English.
• Include the anticipated graduation date in MM/YY format on the resume;
• In the Education section, select "Now attending" under Degree Status when uploading a transcript.
• Qualified applicants in Los Angeles and San Francisco with arrest or conviction records will be considered according to applicable fair-chance laws.
• Information collected through the Google Careers profile and job applications is subject to Google's Applicant and Candidate Privacy Policy.
• Google is an equal opportunity and affirmative action employer.