$100K — $150K *
Cerebras has developed a wafer-scale computer platform that dramatically accelerates deep learning. Our system takes today’s training times and inference latencies and reduces them by orders of magnitude, fundamentally changing the way ML researchers work and pursue AI innovation.
We are innovating at every level of the platform – from processor, to microcode, to new algorithms and network architectures at the cutting edge of ML research. Our system delivers unprecedented performance because it is built from the ground up for deep learning.
Cerebras is building a team of exceptional people to work together on big problems. Join us!
About The Role
You will develop and maintain the automation infrastructure for functional and performance tests of Cerebras products. As an MLOps engineer, you will be responsible for designing and developing scalable automation framework to run in cloud and in our datacenter. You will work closely with the development and QA teams to support various test flows and improve engineering productivity for software that runs on the Wafer Scale Engine (WSE), the world’s largest and fastest AI computer.
Skills & Qualifications
Valid through: 10/27/2021