One of our growth-stage investments is looking to hire a Sr ML Ops Engineer with 8+ years overall experience and 4+ years industry experience building associated MLOps infrastructure, pipelines, and (observability) tooling. Priority given to candidates with strong foundations in DevOps/SRE (AWS, Kubernetes, Docker, CI/CD, etc.) who have a solid understanding of deep learning (ideally, transformer) architectures. Prior startup experience is a plus!
Application Process:
We will contact anyone who looks like a potential match--requesting to schedule an initial call with you immediately. Otherwise, a follow-up email will not be sent until a match is identified with one of our investments (due to the high volume of applicants we typically receive from our job postings).
Greylock Talent:
There are no fees associated with any of the work we do. As a value-add investor, we provide free candidate referrals/introductions to all of our active investments (one of the many services we provide).