Minimum qualifications:

• Currently enrolled in a Master's degree or PhD program in Computer Science, Linguistics, Statistics, Applied Mathematics or a related technical field.
  
• Experience in one area of Computer Science (e.g., Large Language Models, Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Software Engineering, etc.).
  
• Experience programming in one or more of the following: C/C++, Java, or Python.
  

Preferred qualifications:

• Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
  
• 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++, Java, MATLAB, Go, Python, TF, PAX/JAX etc.).
  
• Ability to design and execute on research agendas.
  

About the job

Research happens across Google everyday, in many different teams. Our research has already impacted user-facing services across Google including Search, Maps, and Google Now, and is central to the success of Google Cloud and our computing, storage, and networking infrastructure.

Research Interns work closely with Research Scientists and Software Engineers to discover, invent, and build at scale. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes. From creating experiments and prototyping implementations to designing architectures, Research Interns work on challenges in artificial intelligence, machine perception, data mining, machine learning, natural language understanding, privacy, computer architecture, networking, operating systems, storage and data management, and more. You are also expected to contribute to the wider research community by publishing papers.