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 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).
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.
At Zalando adtech lab in Hamburg, machine learning drives many of our production systems to build great user experiences. Our most recent product requires precise estimates of future interests of Zalando consumers based on their history of interacting with the fashion platform. For example, we want to predict a consumer's interest in ordering selected fashion articles. We set ourselves the goal to build a powerful and versatile prediction tool that not only fits the task at hand, but is also ready for future product developments. Deep learning approaches have many advantages over traditional techniques, making them a great fit for our requirements.
Zalando is Europe's leading online fashion platform for men, women and children. The 1000 members of Zalando's tech team are passionate about the work we do and the technologies we use to get things done, and we love to share our enthusiasm with the rest of the world. Join our Meetup group to receive news about the technical talks, workshops, and other events that we host at our Tech HQ near Alexanderplatz. Some of the topics and technologies that our team and guest speakers are likely to talk about: Scala, Python, Java, open source, Swift, Android, product/UX, React, Docker, AWS, machine learning, PostgreSQL, APIs, agile development and methodologies, and the cloud. Sure, that's a long list--but Zalando is quite a complex operation!