Student Researcher, PhD

Job Description

Job Title: Student Researcher, PhD, Winter/Summer 2026. Location: Mountain View, CA, USA (and 18 additional U.S. locations)

Available locations include:

• Mountain View, CA
• Ann Arbor, MI
• Atlanta, GA
• Austin, TX
• Cambridge, MA
• Chicago, IL
• Irvine, CA
• Kirkland, WA
• Los Angeles, CA
• Madison, WI
• New York, NY
• Palo Alto, CA
• Pittsburgh, PA
• Goleta, CA
• San Bruno, CA
• Seattle, WA
• San Francisco, CA
• Sunnyvale, CA
• Washington, D.C.

Job Type: Research Fellowship (PhD Student Research Program / Internship & Apprentice)

Responsibilities:

• Participate in research projects aligned with Google's scientific and technological priorities.
• Conduct exploratory research focused on solving real-world, large-scale challenges.
• Collaborate with researchers, engineers, and scientists across Google teams;
• Contribute to the development of innovative technologies and next-generation intelligent systems.
• Apply advanced computer science and research methodologies to scientific problems.
• Support research initiatives across organizations including Google Research, Google DeepMind, Google Cloud, and related teams.
• Work on projects involving areas such as:
  • Machine Learning
  • Deep Learning
  • Natural Language Understanding
  • Computer Vision
  • Human-Computer Interaction
  • Data Science
  • Software Engineering
  • Optimization Algorithms
  • Quantum Information Science
• Collaborate with academic and industry researchers to advance scientific knowledge and technology development.
• Contribute to breakthrough research that improves products, services, and computing capabilities.

Qualifications:

• Currently enrolled in a PhD degree 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 research area, including:
  • Machine Learning
  • Deep Learning
  • Natural Language Understanding
  • Computer Vision
  • Human-Computer Interaction
  • Data Science
  • Software Engineering
  • Algorithmic Optimization
  • Quantum Information Science
  • Related research disciplines

Preferred:

• Enrolled full-time in a degree program and returning to studies after completing the research engagement.
• Currently attending a university in the United States.
• Previous research experience through:
  • Research laboratories
  • Internships
  • Academic projects
  • Full-time research positions
• Experience contributing to research communities through publications in conferences or journals.
• Experience with one or more programming languages, including:
  • Python
  • Java
  • JavaScript
  • C/C++
  • Similar programming languages

Benefits and Compensation:

• Annualized salary range: $118,000 - $157,000 USD
• Compensation is based on skills, experience, education, and relevant training.

Benefits:

• Medical, dental, vision, life, and disability insurance.
• 401(k) retirement plan with company matching contributions.
• 20 days of paid vacation annually.
• Sick leave:
  • 40 hours per year
  • 69 hours per year for Seattle-based participants
• Five discretionary sick days per occurrence.
• Maternity leave:
  • 28 to 30 weeks
• Baby bonding leave:
  • 18 weeks
• 13 paid holidays annually.

Application Instructions:

• Applications are reviewed on a rolling basis.
• Applicants are encouraged to apply early.
• The anticipated application deadline is July 17, 2026, though the position may close earlier if projects are filled.
• Applicants must submit:
  • Updated CV or resume
  • Current unofficial or official transcript in English (PDF preferred)
• Resume should include:
  • Expected graduation date (MM/YY format)
  • Programming language proficiencies
• Participants must be physically located in the United States for the entire duration of the engagement.
• English proficiency is required for participation.

Other Information:

• This program is intended for PhD students who are not seeking full-time employment immediately after the program.
• The position is non-conversion eligible, meaning it does not lead directly to a full-time role.
• Project duration, schedule, and work arrangement (onsite, hybrid, or remote) vary depending on team and project requirements.
• Typical start dates fall between January and July;
• Participants may be considered for research opportunities across Google organizations, including Google Research, Google DeepMind, Google Cloud, and other research teams.
• Google is committed to equal employment opportunity and complies with applicable fair chance hiring laws and regulations.