Applied Scientist Personalization
Posted on :
14-04-2025
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1 Vacancy
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Job Description
Are you a scientist interested in pushing the state of the art in machine learning and recommendation systems Are you interested in working on novel ideas that can positively impact millions of customers Do you wish you had access to large datasets and tremendous computational resources Answer yes to any of these questions and you will be a great fit for our team at Amazon.
Our team is part of Amazons Personalization organization a highperforming group that leverages Amazons expertise in machine learning big data distributed systems and user experience design to deliver the best shopping experiences for our customers. Our team builds largescale machinelearning solutions that delight customers with personzlized content recommendations at the right time with the right level of explanation.
As an Applied Scientist in our team you will be responsible for the research design and development of new AI technologies for personalization. You will adopt or invent new machine learning and analytical techniques in the realm of recommendations and large language models. You will collaborate with scientists engineers and product partners locally and abroad. Your work will include inventing experimenting with and launching new features products and systems.
Please visit for more information.
PhD in CS/EE or related field or MSc and 5 years of applied research experience
Strong CS foundations (data structures and algorithms)
Excellent coding and design skills proficiency with programming languages such as Java or Python
Several publications at toptier peerreviewed research conferences or journals
Strong communication and collaboration skills
Experience in building and launching deep learning and machine learning models for business applications
Solid knowledge of big data and cloud technologies (e.g. Spark AWS etc.
Experience with information retrieval recommender systems natural language processing and/or personalization algorithms
Publications at top Web Machine Learning Natural Language Processing conferences such as KDD ICML NeurIPS ACL EMNLP etc.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our team is part of Amazons Personalization organization a highperforming group that leverages Amazons expertise in machine learning big data distributed systems and user experience design to deliver the best shopping experiences for our customers. Our team builds largescale machinelearning solutions that delight customers with personzlized content recommendations at the right time with the right level of explanation.
As an Applied Scientist in our team you will be responsible for the research design and development of new AI technologies for personalization. You will adopt or invent new machine learning and analytical techniques in the realm of recommendations and large language models. You will collaborate with scientists engineers and product partners locally and abroad. Your work will include inventing experimenting with and launching new features products and systems.
Please visit for more information.
PhD in CS/EE or related field or MSc and 5 years of applied research experience
Strong CS foundations (data structures and algorithms)
Excellent coding and design skills proficiency with programming languages such as Java or Python
Several publications at toptier peerreviewed research conferences or journals
Strong communication and collaboration skills
Experience in building and launching deep learning and machine learning models for business applications
Solid knowledge of big data and cloud technologies (e.g. Spark AWS etc.
Experience with information retrieval recommender systems natural language processing and/or personalization algorithms
Publications at top Web Machine Learning Natural Language Processing conferences such as KDD ICML NeurIPS ACL EMNLP etc.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Key Skills
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