Google Student Researcher Internship Program 2026

Electroorg

Mountain View, Northern (CA, KY)

Hybrid

USD 34,000 - 55,000

Full time

3 days ago
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Job summary

Google LLC seeks Student Researcher interns to join across multiple teams on exploratory projects that push the boundaries of computing and AI. You will contribute to cutting-edge research addressing large-scale, real-world challenges with guidance from senior researchers.

The program emphasizes collaboration across Google Research and DeepMind, encouraging publications and practical outcomes while matching your current degree path and timing for return to studies.

Qualifications

  • Currently enrolled in a Bachelor's/Master's/PhD program in CS or a related field.
  • Demonstrated experience in at least one specialized CS area (NLU, ML, CV, Software Eng).
  • Proficiency in one or more general-purpose programming languages (Python, C/C++, Java, Go, MATLAB).

Responsibilities

  • Collaborate on innovative research projects addressing large-scale real-world problems.
  • Support development of solutions contributing to scientific and technological advancement.
  • Engage in exploratory work across computing, AI, and sustainability domains.

Skills

Python
Machine Learning
C/C++
Go
Java

Education

Bachelor's/Master's/PhD in CS/related field

Tools

PyTorch
TensorFlow
NumPy

Job description

Varies based on project and team requirements

Software and digital electronics / Computer Theory

0 - 0 None

Start: Immediately

None Full time Intership

Required degree: Bachelor

Company size: 10000+

About job

The Student Researcher Program aims to cultivate academic collaborations by engaging students in research initiatives that align with Google’s scientific advancement goals. Interns are integrated into teams across the organization, contributing to exploratory projects that address large-scale, real-world challenges and foster breakthrough technologies.

Responsibilities
  • Collaborate on innovative research projects aimed at solving large-scale, real-world problems.
  • Support the development of solutions that contribute to scientific and technological advancement.
  • Engage in exploratory work across various domains, including computing, artificial intelligence, and sustainability.
Requirements
  • Current enrollment in a Bachelor’s, Master’s, or Doctorate program in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or a related field, or equivalent practical experience.
  • Demonstrable practical experience in at least one specialized area of computer science (e.g., Natural Language Understanding, Machine Learning, Computer Vision, Software Engineering).
  • Ability to be physically located in a designated country for the entire duration of the internship engagement.
  • Current enrollment in a full-time degree program within the EMEA (Europe, Middle East, and Africa) region with plans to return to studies after the internship.
  • Prior research experience, which may include internships, work in a lab, or full-time research roles.
  • A record of contribution to research communities, such as publishing papers in major conferences or journals.
  • Proficiency in one or more general-purpose programming languages (e.g., Python, C/C++, Java, Go, MATLAB).
Conditions
  • Internship placements vary in both duration and geographic location based on project and team needs.
  • Candidates are considered for research roles across various Google teams, including Google DeepMind and Google Research.
  • A complete application requires an updated curriculum vitae (CV) or resume and a current academic transcript
About us

Google LLC is a leading American multinational technology firm focused on internet-related services and products, including search engines, cloud computing, software, and online advertising. Founded in 1998 by Larry Page and Sergey Brin, it is recognized among the foremost technology companies globally.

Multinational technology corporation

What we do

Google advances computing and develops intelligent systems for its products through foundational research, leveraging cutting-edge computer science techniques and collaboration across teams to address evolving global needs.

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