2027 Applied Scientist Internship – Masters, Amazon University Talent Acquisition
Core
Design and develop end-to-end AI-driven detection systems and ML solutions for security access violations and product safety/compliance.
Role type
Applied Science Intern (Masters level)
Builds
Production-level ML systems, detection algorithms, and safety mechanisms for Amazon's global operations and product catalog.
Domain
AI/ML, Security, Computer Vision, Knowledge Graphs
Deliverable
production ML models
Required skills
Machine learning, deep learning, computer vision, graph modeling, algorithm design, statistical analysis, Python, Java, C++
Preferred skills
Top-tier conference publications, business problem solving via ML, experimental design, custom code implementation
Technologies
Python, Java, C++, LLMs, multimodal models, reinforcement learning, generative AI
Responsibilities
Scope and own research projects end-to-end, design new algorithms and models, deploy solutions to production, collaborate with cross-functional teams
Seniority
Intern