Research Scientist - Machine Learning and AI @ Zalando

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THE OPPORTUNITY Zalando Research sets the course for re-imagining fashion for the good of all. Machine Learning and AI are our research fields. That comprises today's most exciting research topics, such as Deep Learning, Computer Vision and NLP, Large Scale Bayesian Inference, Reinforcement Learning, Causality, Augmented and Virtual Reality. If you are an expert in one of these fields and have an impressive publication record then come join us and use your scientific background to drive Zalando-scale innovation! We stretch the limits of theory, we apply novel ideas in practice and we experiment.


Zalando Launches Research Lab – Zalando Tech Blog

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Zalando Tech is embarking on an exciting new chapter in its evolution. We've recently launched Zalando Research – an endeavour to place Zalando at the forefront of cutting-edge research, to complement our already strong foothold on technology. Why are we doing this? We already boast great researchers at Zalando Tech, so we want to give them an outlet where they can be better organised and aligned. We also want to have a greater impact in the tech research community, especially in the fields of data science, machine learning, and artificial intelligence (AI).


The Amazing Ways Retail Giant Zalando Is Using Artificial Intelligence

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Founded in 2008 by business school friends Robert Gentz and David Schneider, German-headquartered "etailer" Zalando is as much of a tech company as it is a retailer. One reason the company can provide a personalized user experience to its 27 million customers is because of the way it uses artificial intelligence (AI) and machine learning just like the other 28 percent of retailers who used artificial intelligence in 2018. Here are only a few of the ways Zalando uses machine learning and artificial intelligence today. One of the ways Zalando uses technology to improve the user experience is through its Algorithmic Fashion Companion (AFC), a digital outfit recommendation tool that can generate outfit recommendations in real-time. The algorithm's recommendations are based on products that the customer has put in their "wish list," expressed interest in or purchased before.


Data Science and AI in the Spotlight with our VP, Alex Rahin – Zalando Tech Blog

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As our work and investment in Data Science and AI continue to grow, we've added to our recent good news on the hiring front here at Zalando Tech. Now that he's fully onboarded, we'd like to introduce Alex Rahin, our new VP of Data and Machine Learning Platforms. Alex joins us with extensive product experience from Amazon, Microsoft, Intel, and several technology startups. He is responsible for Zalando Tech's Core Data Platforms and Applications, such as Data Infrastructure, Machine Learning, Business Intelligence, and Web Analytics. We wanted to share more about his role and what his future endeavours will entail for Zalando in the world of Data Science.


Global Big Data Conference

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Founded in 2008 by business school friends Robert Gentz and David Schneider, German-headquartered "etailer" Zalando is as much of a tech company as it is a retailer. One reason the company can provide a personalized user experience to its 27 million customers is because of the way it uses artificial intelligence (AI) and machine learning just like the other 28 percent of retailers who used artificial intelligence in 2018. Here are only a few of the ways Zalando uses machine learning and artificial intelligence today. One of the ways Zalando uses technology to improve the user experience is through its Algorithmic Fashion Companion (AFC), a digital outfit recommendation tool that can generate outfit recommendations in real-time. The algorithm's recommendations are based on products that the customer has put in their "wish list," expressed interest in or purchased before.