Research Intern – AI/ML Research

Job Description

Research Intern, PhD, Summer 2027 | Google

The Tone:
This is a full-time, paid internship at Google, located in Canada, spanning 12-14 weeks. Google develops widely used services such as Search, Maps, and Google Now, along with foundational technologies like Google Cloud and large-scale computing infrastructure. This research role is crucial for discovering, inventing, and building at the largest scale, directly impacting technology used by billions of people daily. Interns contribute to fundamental research that shapes current and future technology.

The TL;DR
• Role: Internship
• Type: Full-time
• Location: In-person – Canada
• Pay: $120000 CAD yearly
• Team: Research teams across Google
• Mission: To discover, invent, and build at the largest scale, impacting technology used by billions of people daily.
• Tech Stack: Python, Java, JavaScript, C/C++

What You’ll Actually Do
• Develop: Develop and execute a focused research agenda.
• Collaborate: Contribute to an innovative team, including working with peers, managers, and partner teams.
• Experiment: Create experiments and prototype new implementations.
• Design: Design architectures for various computing challenges.
• Innovate: Discover, invent, and build solutions at Google’s scale, addressing challenges in areas like artificial intelligence, machine perception, and natural language understanding.

The Must-Haves
• Background: Doctorate Degree. Currently enrolled in a PhD program in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or a related technical field.
• Experience: Demonstrated experience in one area of computer science such as Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, or Software Developing.
• Skills: Competency in Natural Language Understanding; Computer Vision; Machine Learning; Deep Learning; Algorithmic Foundations of Optimization.
• Bonus: Currently attending a degree program in Canada, available to work full time for 12 weeks outside of university term time, returning to a degree program after the internship, experience as a researcher (including internships, full-time, or at a lab), experience contributing to research communities or publishing papers in major conferences or journals, and proficiency with one or more general purpose programming languages (e.g., Python, Java, JavaScript, C/C++).