How would you like to lead the MLOps direction at an industry leading company as our Machine Learning Infrastructure Engineer? We are a virtual first company, and you have the choice to be fully remote (any US time zone) or work out of our awesome San Fran head office.
What's The Job?
As our Machine Learning Infrastructure Engineer you will construct the infrastructure set up of which our ML models will be deployed. For the first six months you will be leading our efforts of revamping our current deployment approach and moving us to a more modern tech stack. We currently have a lot of manual tasks that we would like you to automate. We sit on AWS platform, and you will be in charge of orchestrations, maintaining our ML models, and optimizing our ML model training. We want someone who can bring 'best practices' to our organization, and long term, build out our MLOps.
This role will report to the Machine Learning Team Manager, and you'll work alongside 3 other Machine Learning Engineers who focus on model development.
Who Are We?
We are the leading marketplace for 'gig' economy workers and jobs. We are now a multi-national entity, providing a broad spectrum of 'gig' services to our loyal customers.
We were acquired by a global furniture retailer, which now allows us to operate in the best of both worlds. We are still operating independently within a startup environment, but we now have the deep pockets to have all the resources we need to achieve our lofty goals. There's no burning of VC cash here and the fear of 'running out of runway'.
Our head office is in San Fran, but this role can operate on a fully-remote basis so we are accepting candidates from anywhere in the U.S.
Compensation:
What Skills Do You Need?
What's In It For You?
A chance to lead MLOps at an industry leading company. You'll get to own the ML infrastructure and direct our MLOps path. This role is also open to being fully-remote, or on-site at our San Fran office - the choice is yours!