DevOps Engineer, ML Compiler

Posted Mar 1

About Us

We believe AI will fundamentally transform how people live and work. CentML's mission is to massively reduce the cost of developing and deploying ML models so we can enable anyone to harness the power of AI and everyone to benefit from its potential.

Our founding team is made up of experts in AI, compilers, and ML hardware and has led efforts at companies like Amazon, Google, Microsoft Research, Nvidia, Intel, Qualcomm, and IBM. Our co-founder and CEO, Gennady Pekhimenko, is a world-renowned expert in ML systems who holds multiple academic and industry research awards from Google, Amazon, Facebook, and VMware.

Responsibilities

  • Developing and improving CI/CD for CentML’s products. 
  • Automate different testing of our products: performance testing, functional testing, on-commit testing, nightly testing, etc. 
  • Improving and supporting our testing HW infrastructure.

Who you are

  • Bachelors or higher degree in Computer Science or Engineering.
  • Relevant 2+ years of work experience as DevOps or MLOps. 
  • Experience with CI/CD tools like Jenkins, GitLab, Bitbucket, or others.
  • Proficiency in scripting languages like Python, Ruby, or Shell scripting.
  • Strong background in Linux administration.

You will stand out from the crowd if you have

  • Experience in deploying and managing machine learning models or in other areas related to ML/DL.
  • Relevant work experience in team developing compiler.
  • Experience with monitoring tools such as Prometheus, Grafana, or others. 

Benefits & Perks

- An open and inclusive culture and work environment

- Fully stocked kitchen at the office

- Full health and dental benefits

- Parental Leave top-up for 6 months

- Continuous education budget

- Generous vacation - we're not saying unlimited, but if you need extra time to recharge, just ask

At CentML, we celebrate our differences and value cultivating an inclusive environment for all. We welcome applications of all kinds and are committed to providing an equal opportunity process.