Along with the development of machine learning or deep learning (deep learning) in recent years, systems using machine learning are rapidly spreading in society. On the other hand, however, various software engineering methods used in conventional IT systems have become unusable enough to say at all before a system incorporating machine learning (machine learning system) . The methodology of development, testing and operation of the machine learning system has not been established yet, and at the development site engineers are managed to surpass it by trial and error.

Based on such a situation, we think that it is necessary to establish and systematize a new paradigm which should be called "machine learning engineering" for machine learning systems. In the first half of the workshop, we will present the position and clarify the position of the participants, and in the second half we will discuss based on Open Space Technology.