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 rapid 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-Have
Experience with building and scaling data-intensive software in Java
You value good software design and sweat over details in code and API design
Knowledge of machine learning modelling workflow
You enjoy learning new technology and also educating others
You strive to communicate clearly and with empathy
You take great personal pride in building robust and scalable software
You are highly accountable and have a strong sense of ownership
Ability to do detailed code reviews and give thoughtful feedback
Nice to have
Experience building a library or a framework
Knowledge of machine learning algorithms
Experience with Kubernetes
Data analytics
Comfortable with math or statistics