Aktuelle Jobs im Zusammenhang mit Manager Applied Science, Amazon Music Machine Learning/Personalization - Berlin - Amazon Development Center Germany GmbH
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Applied Scientist, Content Systems Science and
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Senior Applied Scientist
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Machine Learning Scientist, Alexa
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Berlin, Deutschland Amazon Development Center DEU VollzeitPhD in a quantitative field (e.g., computer science, machine learning, mathematics, statistics) or Master’s degree with equivalent experience - Extensive knowledge and practical experience in several of the following areas: machine learning, deep learning, statistics, NLP, recommendation system, signal processing. - Experience with Python, R, SAS, Matlab...
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Senior Applied Scientist, Amazon Robotics R&d
vor 3 Monaten
Berlin, Deutschland Amazon Development Center Germany GmbH VollzeitPhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language Key job responsibilities - Research, design,...
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Applied Scientist, Eu Ats Science and Tech
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Applied Scientist Ii, Aft Ai, Amazon Fulfillment
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Berlin, Deutschland Amazon Development Center Germany GmbH VollzeitPhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms - Experience programming in Java, C++, Python or related language - Experience...
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Senior Machine Learning Scientist
Vor 6 Tagen
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Applied Scientist Ii, Aft Ai, Amazon Fulfillment
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Berlin, Deutschland Amazon Development Center Germany GmbH VollzeitPhD, or a Master's degree and experience in CS, CE, ML or related field - Experience programming in Java, C++, Python or related language - Experience with state-of-the-art deep learning and data science frameworks like PyTorch, TensorFlow, Pandas - Experience working with deep learning models for classification tasks Key job responsibilities In this role,...
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Applied Scientist
vor 7 Monaten
Berlin, Deutschland Amazon Development Center Germany GmbH VollzeitPhD or equivalent Master's Degree plus 4+ years of experience in CS, CE, ML, NLP/Computational Linguistics, mathematics/statistics or related field - Solid programming skills, eg. Python + Pandas stack - Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives - Experience working as part of...
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Sr. Applied Scientist, Community Data
vor 2 Monaten
Berlin, Deutschland Amazon Development Center Germany GmbH VollzeitPhD, or Master's degree and 5+ years of applied research experience. - Experience programming in Java, C++, Python or related language. - Experience with neural deep learning methods and machine learning. The Community Feedback organization powers customer-generated features and insights that help customers use the wisdom of the community to make...
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Applied Scientist Ii
vor 1 Monat
Berlin, Deutschland Amazon TA VollzeitKey job responsibilities In this role, you will build computer vision and multi-modal deep learning models that understand the state of products and packages flowing through Amazon’s fulfillment network. You will build models that solve challenging problems like product identification and damage detection on Amazon's entire retail catalog (billions of...
Manager Applied Science, Amazon Music Machine Learning/Personalization
vor 6 Monaten
You will be managing a cross-functional team of Applied Scientists and (Machine Learning) Engineers, driving innovation in ML/AI models for customer and content understanding that drive key personalization tasks like recommendation, ranking, and experience optimization. You will lead your team in setting up roadmaps, experimentation and development, all the way to bringing new products out to improve the Amazon Music customer experience.
Key job responsibilities
- Lead a group of Applied Scientists, ML Engineers and Software Development Engineers located in Berlin, Germany to deliver innovation and solutions-in-production that utilize ML/AI to solve business and customer problems
- Advance the team's craftsmanship and drive continued scientific innovation as a thought leader and practitioner, also influencing beyond your own team into the entire Personalization org
- Develop the roadmap for your team, in collaboration with other teams in the Personalization org and Music at large; oversee planning, and foster cross-team collaboration to execute on complex projects
- Hire and develop top talent, provide technical and career development guidance to people across the organization
- Leverage industry best practices to establish repeatable applied science practices, principles & processes
- Evangelize state-of-the-art and innovation to the wider Amazon Music org
About the team
The Music Machine Learning & Personalization team in Berlin is responsible for foundational ML/AI infrastructure in Amazon Music; providing ML artifacts that capture customer- and content insights; and key primitives for delivering a personalized customer experience, including ranking, experience optimization. The team works closely with other teams in the US (e.g. Seattle, San Francisco), and has a very vibrant, diverse, international, and multi-cultural atmosphere - like Berlin
BASIC QUALIFICATIONS
- PhD, or Master's degree in Computer Science, Machine Learning, Mathematics or related field-Applied research experience
- Experience in leading scientists or machine learning engineers
- Experience in building machine learning models or developing algorithms for business applications
- Experience programming in Python or related language
PREFERRED QUALIFICATIONS
- Experience building complex software systems, especially involving deep learning, machine learning, that have been successfully delivered to customers- Experience in patents or publications at top-tier peer-reviewed conferences or journals, strong publication record
- Experience with popular deep learning frameworks, including PyTorch
- Experience with learning LLMs and Gen AI, both textual and multi-modal approaches
