Machine learning has promised a new way to gain understanding and value in many industries; yet most companies are still learning how to correctly use and design ML models. The main obstacles come from many different sources, which include the inherent complexity of ML models, extracting economic value from data, deployment, integration, legacy models and innovation. At layer 6 we approach these problems from a different perspective: by engaging in research we are able to produce high impact papers as well as keep ourselves updated with the state-of-the-art approaches, by doing competitions we tune our skills into the challenges of real world data, and by working in use-cases we deal with the complexities of a large organization. In this talk I will share what is to work in this environment as well as what are the main skills that are needed to work in the ML industry.

Felipe Perez, UM Math PhD 2015, is now a Machine Learning Research Scientist at Layer 6 AI. Our Invitation to Industry Series is run in collaboration with the Erdos Institute.


Speaker(s): Felipe Perez (Layer 6 AI)