PriceHubble is a PropTech company with over 220 employees, set to radically improve the understanding and transparency of real estate markets based on data-supported insights. We aggregate and analyze a wide variety of large scale datasets, and apply state-of-the-art machine learning to generate high-quality valuations and predictive analytics for the real estate market. We are headquartered in Zürich, with offices in Berlin, Hamburg, Paris, Vienna, Prague, Amsterdam and Tokyo. We work on international markets and we are backed by world-class investors. We have a startup environment, low bureaucracy, and an international team and business. You will be part of the Data Products team, heading a team of experienced ML and software engineers who build PriceHubble's Data and ML Platform.

Maurice Grassau, CEO of Architrave, cuts through the buzzwords and hype to explain what machine learning is and what its use is in real estate. Machine learning is a subfield of artificial intelligence, which broadly seeks to make machines that perform complex tasks by imitating intelligent human behaviour. There are two distinct different ways machine learning can operate. One method uses rule-based algorithms, and the other uses a self-learning model. Take a digital game of chess.