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 robust 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 solutionsAnalyze user experiences leveraging diverse data sourcesImplement prompt engineering and supervised fine-tuningOptimize models using techniques like learning from human feedbackDeliver impactful products that enhance conversational capabilitiesRequirements:3+ years of model-building experiencePhD or Master's with 4+ years in related fieldProficiency in Java, C++, or Python programmingStrong background in algorithms, data structures, and optimizationExperience with Unix/Linux and professional software developmentDrive the future of AI-driven conversations at Amazon while innovating user experiences.#J-18808-Ljbffr

📌 Applied Scientist In Conversational Ai At Amazon (Toronto)
🏢 Amazon
📍 Toronto