2027 Applied Scientist Internship – PhD, Amazon University Talent Acquisition
Core
Design and implement end-to-end machine learning systems to solve complex catalogue quality, product discovery, and autonomous agent challenges at Amazon.
Role type
PhD Applied Science Intern (Research & Production)
Builds
Production ML models, computer vision systems, multimodal learning solutions, and autonomous agentic shoppers for Amazon's shopping experience.
Domain
E-commerce, Machine Learning, Computer Vision, Multimodal AI
Deliverable
production ML models
Required skills
PhD in CS/ML/Engineering, Programming in Java/C++/Python, English fluency
Preferred skills
Top-tier conference publications, Business problem solving via ML, Experimental design, Algorithm implementation
Technologies
Java, C++, Python, Machine Learning toolkits
Responsibilities
Scope and own research projects end-to-end, develop ML/data analysis solutions for catalogue quality, build computer vision and multimodal models, create autonomous agentic shoppers, deploy solutions to production.
Seniority
Intern (3-6 months)