Paper is looking for an intermediate ML-Ops engineer to join the growing R&D team. In this role, you will own our end-to-end machine learning platform and core infrastructure, from research to Machine Learning production pipelines. The ultimate mission of this role is to minimize the time for rolling out Data Science algorithms and Machine Learning models as well as maximizing the reliability of the production ML system. You should be self-directed and comfortable implementing training and inference pipelines in collaboration with a wide range of stakeholders and cross-functional teams. As an ideal candidate, you need to have a strong background in machine learning and software development.
This position can be located in any geography in the US or Canada.
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