Elevate conversational AI innovation with Amazon's CAMEL team as an Applied Scientist. Specialize in Large Language Models, AI, and NLP to create intuitive user experiences across millions.

As a key member of Amazon's Conversational AI ModEling and Learning (CAMEL) team, you'll design scalable solutions using your expertise in LLMs, algorithms, and machine learning. This role demands strong skills in programming and a background in extensive data handling. Collaborate with scientists and engineers to enhance customer interactions through advanced AI and machine learning technologies.

Key Responsibilities:



• Research and develop novel algorithms for AI solutions • Analyze user experiences leveraging diverse data sources • Implement prompt engineering and supervised fine-tuning • Optimize models using techniques like learning from human feedback • Deliver impactful products that enhance conversational capabilities

Requirements: • 3+ years of model-building experience • PhD or Master’s with 4+ years in related field • Proficiency in Java, C++, or Python programming • Strong background in algorithms, data structures, and optimization • Experience with Unix/Linux and skilled software development

Drive the future of AI-driven conversations at Amazon while innovating user experiences.

📌 Applied Scientist in Conversational AI at Amazon (Toronto)
🏢 Amazon
📍 Toronto