Research Scientist PhD Intern in Munich, BY

Summary:

• 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 Client region.
• Participation in the internship program requires that you are located in Germany or Switzerland, 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 2025 (starting in May, June or July) for the duration of the program.

Minimum qualifications:

• Currently enrolled in a PhD degree in Computer Science or a related technical field in the Client region, and in your penultimate/final year of education.
• Experience in Natural Language Understanding/Processing, Computer Vision, LLMs, 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 and profiency in one or more general purpose programming languages: Java, C++, Python, or Go.
• Experience with research from previous internships, full-time industry experience, personal projects, lab work, and/or published papers (being listed as author).

Preferred qualifications:

• Ability to complete a 13-17 week full-time internship in the internship location between May - October 2025.
• Ability to design and execute on research agendas.

About the job

• Research happens at Client 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 Client, 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.
• Client 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 Client products.

Responsibilities

• Participate in research to develop solutions for real-world, large-scale problems.

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