Research Scientist PhD Intern, 2027

• 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.

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: Natural Language Understanding/Processing, Computer Vision, LLMs, Algorithmic Foundations of Optimization, Data Mining, Machine 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, or published papers (being listed as author).

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.
• Ability to design and execute on research agendas.
• Ability to complete a 13-17 week full-time internship in Switzerland, France or Germany starting in either May, June or July 2027.

• 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: Natural Language Understanding/Processing, Computer Vision, LLMs, Algorithmic Foundations of Optimization, Data Mining, Machine 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, or published papers (being listed as author).