We are looking for world-class engineers to tackle cutting-edge problems of applying Machine Learning in the real world. Join this team to develop a framework for machine learning models that have real world impact. The goal of the framework is to help our ML Scientists build robust and high performing models through providing a solid foundation and allowing for fast iteration.As Machine Learning Engineer at Layer 6, you will work with ML Scientists to learn their modelling workflow, so that you can design abstractions and build components that can be combined to build high quality models. You will work with ML Platform team to make sure these models can be trained and deployed on our computing infrastructure,



taking advantage of cloud technologies like Kubernetes.Must-HaveExperience with building and scaling data-intensive software in JavaYou value good software design and sweat over details in code and API designKnowledge of machine learning modelling workflowYou enjoy learning current technology and also educating othersYou strive to communicate clearly and with empathyYou take great personal pride in building robust and scalable softwareYou are highly accountable and have a strong sense of ownershipAbility to do detailed code reviews and give thoughtful feedbackNice to haveExperience building a library or a frameworkKnowledge of machine learning algorithmsExperience with KubernetesData analyticsComfortable with math or statistics #J-18808-Ljbffr

📌 Machine Learning Engineer – Framework (Toronto)
🏢 Layer 6 AI
📍 Toronto