37 opportunita di lavoro per recommender in Italia aggiornate oggi
offerte di lavoro trovate
· Pagina 1 / 2Applied Scientist, MAPLE - Recommender System Are you excited by the idea of developing personalized experiences for Amazon customers as they shop? Are you looking for new challenges and to solve hard science problems while applying state-of-the-art recommendation system modeling and GenAI technique
Applied Scientist, MAPLE - Recommender System Are you excited by the idea of developing personalized experiences for Amazon customers as they shop? Are you looking for new challenges and to solve hard science problems while applying state-of-the-art recommendation system modeling and GenAI technique
Applied Scientist, MAPLE - Recommender System Are you excited by the idea of developing personalized experiences for Amazon customers as they shop? Are you looking for new challenges and to solve hard science problems while applying state-of-the-art recommendation system modeling and GenAI technique
Applied Scientist, MAPLE - Recommender System Are you excited by the idea of developing personalized experiences for Amazon customers as they shop? Are you looking for new challenges and to solve hard science problems while applying state-of-the-art recommendation system modeling and GenAI technique
Applied Scientist, MAPLE - Recommender System Are you excited by the idea of developing personalized experiences for Amazon customers as they shop? Are you looking for new challenges and to solve hard science problems while applying state-of-the-art recommendation system modeling and GenAI technique
Applied Scientist, MAPLE - Recommender System Are you excited by the idea of developing personalized experiences for Amazon customers as they shop? Are you looking for new challenges and to solve hard science problems while applying state-of-the-art recommendation system modeling and GenAI technique
Amazon is looking for an Applied Scientist in Lombardia to develop advanced recommendation systems that enhance the shopping experience for millions of customers. The role emphasizes collaboration and innovation, requiring a PhD or Master's degree along with significant experience in model building
Amazon is looking for an Applied Scientist in Lombardia to develop advanced recommendation systems that enhance the shopping experience for millions of customers. The role emphasizes collaboration and innovation, requiring a PhD or Master's degree along with significant experience in model building
Amazon is looking for an Applied Scientist in Lombardia to develop advanced recommendation systems that enhance the shopping experience for millions of customers. The role emphasizes collaboration and innovation, requiring a PhD or Master's degree along with significant experience in model building
Amazon is looking for an Applied Scientist in Lombardia to develop advanced recommendation systems that enhance the shopping experience for millions of customers. The role emphasizes collaboration and innovation, requiring a PhD or Master's degree along with significant experience in model building
Amazon is looking for an Applied Scientist in Lombardia to develop advanced recommendation systems that enhance the shopping experience for millions of customers. The role emphasizes collaboration and innovation, requiring a PhD or Master's degree along with significant experience in model building
Amazon is looking for an Applied Scientist in Lombardia to develop advanced recommendation systems that enhance the shopping experience for millions of customers. The role emphasizes collaboration and innovation, requiring a PhD or Master's degree along with significant experience in model build
Applied Scientist, MAPLE - Recommender System Are you excited by the idea of developing personalized experiences for Amazon customers as they shop? Are you looking for new challenges and to solve hard science problems while applying state-of-the-art recommendation system modeling and GenAI technique
Applied Scientist, MAPLE - Recommender SystemAre you excited by the idea of developing personalized experiences for Amazon customers as they shop? Are you looking for new challenges and to solve hard science problems while applying state-of-the-art recommendation system modeling and GenAI techniques
Amazon is looking for an Applied Scientist in Lombardia to develop advanced recommendation systems that enhance the shopping experience for millions of customers. The role emphasizes collaboration and innovation, requiring a PhD or Master's degree along with significant experience in model building
Applied Scientist, MAPLE - Recommender System Are you excited by the idea of developing personalized experiences for Amazon customers as they shop? Are you looking for new challenges and to solve hard science problems while applying state-of-the-art recommendation system modeling and GenAI technique
Amazon is looking for an Applied Scientist in Lombardia to develop advanced recommendation systems that enhance the shopping experience for millions of customers. The role emphasizes collaboration and innovation, requiring a PhD or Master's degree along with significant experience in model building
Applied Scientist, MAPLE - Recommender System Are you excited by the idea of developing personalized experiences for Amazon customers as they shop? Are you looking for new challenges and to solve hard science problems while applying state-of-the-art recommendation system modeling and GenAI technique
Amazon is looking for an Applied Scientist in Lombardia to develop advanced recommendation systems that enhance the shopping experience for millions of customers. The role emphasizes collaboration and innovation, requiring a PhD or Master's degree along with significant experience in model building
Applied Scientist, MAPLE - Recommender System Are you excited by the idea of developing personalized experiences for Amazon customers as they shop? Are you looking for new challenges and to solve hard science problems while applying state-of-the-art recommendation system modeling and GenAI technique
18.000 € – 29.000 €all'anno
Affidabilita della stima: Bassa
Stima basata sui dati di mercato. Gli stipendi effettivi possono variare in base a esperienza, azienda e localita.
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