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Machine Learning Infrastructure Engineer at Cortex Labs - Oakland, United States, Remote

Job Description

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.