2027 Applied Scientist Internship – PhD, Amazon University Talent Acquisition
Core
Design and implement state-of-the-art AI/ML systems for production deployment across diverse domains like video quality, shopping AI, and infrastructure observability.
Role type
PhD Applied Science Intern (Research & Engineering)
Builds
Production-level AI systems, algorithms, and technical solutions for Amazon Science teams
Domain
Artificial Intelligence, Machine Learning, Computer Science
Deliverable
production ML models
Required skills
PhD in CS/ML/Engineering, Programming in Java/C++/Python, Algorithm design, Statistical analysis, Experiment design
Preferred skills
Top-tier conference publications, Business problem solving via ML, Self-developed code implementation
Technologies
Java, C++, Python, Computer Vision, Generative AI, Multimodal AI, Automated Reasoning, Log Analytics
Responsibilities
Scope and own end-to-end research projects, Design new algorithms and models, Deploy solutions into production, Collaborate with cross-functional teams (via careerplan.io/jobs/10567694-2027-applied-scientist-internship-phd-amazon-university-talent-acquisition-at-amazon)
Seniority
Intern, Research & Implementation