Our products are used to:
_reduce the uncertainty of Machine Learning models,
_prioritize enterprise data efforts,
_support experts in the ML loop,
_improve the quality of ML models, especially in multi-class settings with complex ontologies,
_reduce data footprint and compactify ML models so as to be used by the Internet of Things applications,
_improve gaming experience via more challenging and realistic AI in games,
_create intelligent advisory systems from pre-compiled building blocks.
You will be a part of a research team solving clients’ business problems and working on leading solutions in the fields of: machine learning model diagnostics, active learning or big data. You will focus on data preprocessing, model creation and implementation of novel machine learning algorithms under the tutelage of more experienced colleagues.