Research Scientist Intern - Machine Learning and AI

Research Scientist Intern, PhD, 2026

Minimum qualifications:

• Currently enrolled in a PhD program in Computer Science and Engineering, Machine Intelligence and Data Science, AI, or a related technical field.
• Experience in one or more areas of Machine Learning (e.g., Large Language Models, Deep Learning, Natural Language Understanding, Computer Vision, etc.).
• Experience programming in 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 ML frameworks (e.g., TF, JAX, Flax, etc.).
• Experience working with big-data or training a foundational model.
• 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 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.

This research internship is part of AI Innovation and Research (AIR), the applied research arm of Platforms and Devices organization. Within AIR, we focus on both foundational research and AI solutions to deliver the next generation of products in Platforms and Devices. This involves collaborating with Android, Chrome, XR, Home and other teams within Platforms and Devices.

Our work encompasses—but is not limited to—on-device intelligence, foundational models, privacy, performance optimization for resource-constrained environments, novel ML architectures and AI-driven product experiences.

Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.

Responsibilities

• Participate in research to develop solutions for problems.
  
• Research, conceive, and develop ML solutions to accelerate different teams in platforms and devices.
  
• Contribute to deeper understanding of limitations of ML architectures, trade-offs and optimizations.
  
• Lay down the next steps for adoption of the research into next generation product development.

Experience Level

Entry Level