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Applied scientist, alexa ai (venezia)

Venezia
Amazon
Pubblicato il 17 giugno
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Job ID: 10434767 | Amazon Development Centre Italy SRL

Legga la panoramica di questa occasione per capire quali competenze sono richieste, incluse le soft skill pertinenti e la padronanza di pacchetti software.
As an Applied Scientist in the Alexa AI team, you will spearhead the advancement and deployment of state‑of‑the‑art ML/RAG systems that revolutionize how millions of customers interact with Alexa. 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.
Working at the intersection of research and production, you’ll translate the latest AI innovations into customer‑facing features that delight users daily. Your work will span the full ML lifecycle—from analyzing customer behavior patterns and building novel metrics for personal digital assistants, to deploying automated training pipelines and conducting rigorous A/B testing across diverse devices and endpoints.
Collaborating closely with business, engineering, and science teams across Amazon, you’ll lead high‑visibility programs that automate workflows and deliver measurable customer impact. This role offers the unique opportunity to publish at top‑tier conferences while seeing your innovations scale to one of the world’s most popular voice assistants, serving millions of customers globally.
Key job responsibilities

Analyze and model customer behavior at scale, building novel metrics for personal digital assistants across diverse devices and endpoints. Create 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.
Build and deploy automated model training and evaluation pipelines, implement complex machine learning and deep learning algorithms, and conduct rigorous model and data analysis through online A/B t
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