Itembase is a revolutionary shopping manager for consumers. Using your @itembase.com account, all your on- and offline purchases can be stored and organized in one convenient central location. Manuals, receipts and newsletters are analyzed by our semantic systems and always just one click away. Newly bought products, experiences and reviews can be shared with friends and across social networks. Additionally, you can sell your products with just one click. Itembase helps save precious time, energy and resources. Our vision is to become the “Online Inventory for Everything and Everyone”.
Itembase is the proud winner of the 10th Silicon Valley Founder Showcase.
Become part of our development team and design and implement intelligent and efficient high-throughput solutions to classify, extract and organize information from emails.
Apply your knowledge in information extraction and machine learning to classify incoming data from thousands of different shops and help extract exactly the information our users expect us to.
Help us improve our rule- and machine learning-based approaches and make use of relational and noSQL databases in a real-life setting
Good practical knowledge in one OO programming language
Practical knowledge in relational DBS
Experience in noSQL, in PERL, Java, in IE and ML is an advantage
Overall, good technical knowledge and interest
Strong interest in information extraction and/or machine learning
Decent knowledge of regular expressions
Fluent in English