Job Description

Please complete your application before 24th October 2025. We encourage you to apply as early as possible as we review applications on a rolling basis.


This internship is intended for students enrolled in their penultimate/final year of education in an accredited full-time PhD degree program located in the EMEA region. Participation in the internship program requires that you are located in one of the specific country locations identified for this role, for the duration of the internship program. Interns will be required to be available to work full-time for a minimum of 13 weeks over the Summer 2026 (starting in May, June or July) for the duration of the program. Individuals applying for this position will not be eligible for immigration sponsorship.



To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the "Apply" button on this page and provide the required materials in the appropriate sections (PDFs preferred):



In the "Resume Section:" attach an updated CV or resume In the "Education Section:" attach a current or recent unofficial or official transcript in English. Under "Degree Status," select "Now attending" to upload a transcript.

Please include your expected graduation date (month and year), and availability for the internship on your resume. The specific team and project(s) will be determined based on your educational background, interest and skills.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following:

London, UK; Zurich, Switzerland; Munich, Germany

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Minimum qualifications:

Currently enrolled in a PhD degree in Computer Science or a related technical field in the EMEA region, and in your penultimate/final year of education. Experience in one or more Research areas: NLU/Processing, Computer Vision, LLMs, AI Architecture, Audio Processing, Spatial/Temporal Modeling, Machine Learning, Algorithmic Foundations of Optimization, Data Mining, Machine Intelligence (Artificial Intelligence), AI/ML Algorithms, Deep Learning or Image Processing, Multimodal, Multilingual and Reinforcement Learning. Experience with research from previous internships, full-time industry experience, personal projects, lab work, or published papers. Experience in one or more general purpose programming languages: Java, C++, Python, or Go.

Preferred qualifications:

Experience as a researcher, including internships, full-time, or at a lab. Experience contributing to research communities or efforts, including publishing papers in conferences or journals. Experience with one or more general purpose programming languages (e.g., C/C++, MATLAB, PAX/JAX, etc.). Ability to complete a 13-17 week full-time internship in the internship location starting in either May, June or July 2026. Ability to design and execute on research agendas.

About the job

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Research happens at Google everyday, on many different embedded teams throughout the company. Our research reaches the user through both services and products such as Search, Maps, Google Assistant, Google Translate, Google Cloud, and our computing, storage, and networking infrastructure. To achieve this, we're working on projects that utilize the latest technologies that push the boundaries of what is possible. At Google, research-focused engineering interns are embedded throughout the company, contributing to the setup of large-scale tests and deploying promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing architectures, research-focused engineering interns work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and more.


Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.




Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field - we publish regularly in academic journals, release projects as open source, and apply research to Google products.

Responsibilities

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Participate in research to develop solutions for real-world, large-scale problems. Research, conceive, and develop software applications to extend and improve on Google's product offering. Contribute to a wide variety of projects utilizing natural language processing, artificial intelligence, data compression, machine learning, and search technologies. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.