Applied Scientist, EU INTech Consumer Selection Discovery, EU InTech Consumer Selection Discovery
Core
Build GenAI-powered data solutions, agentic systems for quality detection, and ranking/recommendation models for Haul shopping experiences to improve customer experience at Amazon scale.
Role type
Applied Scientist (GenAI, Multimodal LLMs, Distributed Systems)
Builds
GenAI data solutions, agentic systems, ranking and recommendation models
Domain
E-commerce, AI, Customer Experience
Deliverable
production ML models
Required skills
Machine learning, GenAI, Multimodal LLMs, Image-to-text, Distributed computing, Algorithms and data structures, Numerical optimization, Data mining, High-performance computing, Java/C++/Python
Preferred skills
Professional software development
Technologies
GenAI, Multimodal LLMs, Java, C++, Python
Responsibilities
Identify opportunities for innovation with business partners, apply ML to automate processes and scale systems, design and deploy scalable distributed services, influence scientific roadmap and set standards for excellence, work with state-of-the-art models including image-to-text and Multimodal LLMs