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Cortex is an open-source platform for building, deploying, and managing machine learning applications in production. We believe that machine learning should be a core competency of every engineering organization. Our goal is to help engineering teams build better machine learning systems, faster.
We are a VC-backed startup founded by infrastructure engineers with backgrounds from Google, Illumio, and the Berkeley ASPIRE Lab. We are looking for thoughtful and ambitious engineers to join our founding team.
Responsibilities:
Play an integral role in architecting, building, and maintaining our product.
Build and deploy scalable, reliable, and secure machine learning infrastructure.
Design and implement workflows to make machine learning engineers more productive.
Help us define our technical roadmap and our engineering culture.
Qualifications:
Experience designing and building large-scale distributed systems.
Experience with cloud infrastructure (AWS / GCP / Azure).
Experience with DevOps tools such as Docker and Kubernetes.
Experience with data processing tools such as Spark is a plus.
Experience with machine learning tools such as TensorFlow is a plus.
Experience building end-to-end machine learning systems is a plus.