Fall 2026 Applied Science Internship - Canada, PhD Student Science Recruiting
Core
PhD student intern designing and developing end-to-end systems for massive datasets to tackle unsolved problems in AI, NLP, computer vision, automated reasoning, or robotics.
Role type
PhD student applied science intern
Builds
production-level systems and technical roadmaps supporting Amazon Science
Domain
Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, Automated Reasoning, Robotics
Deliverable
production ML models
Required skills
Python, Java, C, C++ programming/scripting, experimentation, system implementation, working with massive datasets
Preferred skills
publications at top-tier peer-reviewed conferences or journals
Responsibilities
design and develop end-to-end systems, create technical roadmaps, drive production level projects, deploy solutions into production, work with diverse cross-functional teams
Seniority
Intern, PhD student
