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.
– 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