07 ago - Italia
Amazon Science
Overview As an Applied Scientist in the Alexa AI team, you will spearhead the advancement and deployment of state‐of‐the‐art LLM systems that revolutionize how millions of customers interact with Alexa across many languages and locales. You'll leverage your expertise in machine learning, natural language processing, and large language models to create reliable, scalable, high‐performance products that set new standards in operational excellence. Key job responsibilities You'll analyze and model customer behavior at scale, building novel metrics for personal digital assistants across diverse devices, endpoints, and languages. Your work will involve creating deep learning, policy‐based learning, and machine learning algorithms that directly impact customer experiences, translating complex data patterns into actionable insights that drive product innovation. Your technical leadership will extend to adapting large language models through supervised fine‐tuning, reinforcement learning, and preference optimization (SFT, RL, DPO),
building and deploying automated training and evaluation pipelines, and conducting rigorous model and data analysis through online A/B testing. You'll research and implement novel approaches that push the boundaries of conversational AI, including how it generalizes across multiple languages and scripts. Beyond model development, you'll ensure operational excellence by taking ownership of production systems, including on‐call responsibilities during peak and non‐peak hours. Working alongside Software Development Engineers, you'll deploy fixes and handle high‐severity issues, ensuring our ML systems maintain the reliability and performance that millions of Alexa customers depend on daily. A day in the life As an Applied Scientist in the Alexa AI team, your day will involve collaborating with talented engineers and scientists to build scalable solutions for our conversational assistant. You'll dive into data analysis, experiment with novel algorith
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