Machine Learning Infrastructure Engineer (MLOps)
LOCATION San Francisco
SALARY $170,000 - $200,000

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.



  • Base Salary of around $175,000
  • Bonus of 15%
  • Full Benefits Package


What Skills Do You Need?

  • You have experience that bridges Machine Learning, Data Engineering, and DevOps (MLOps).
  • You have built Machine Learning infrastructure and Data Pipelines.
  • Your tech stack includes: Python, AWS, Docker and Kubernetes.
  • We're ideally looking for someone coming from a product focused startup.


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!


John Birchall

Manager, Data Engineering

(646) 766-9575


I just had an extremely positive experience working with the DevOps placement team Alex, Daniel, and Chad. They were all consummate professionals who kept my schedule full with relevant interviews. They also helped prep me and were constantly checking in to make sure we were doing everything we could to find the next opportunity. There is potentially a lot of stress that comes with a career transition, but the folks at Averity really know how to help you focus on next steps and moving forward one day at a time. I couldn't recommend them any higher.

Brendan Hasemeier

I had a stellar experience working with Stephanie Grosso at Averity. She's got this great combo of positivity and efficiency, and she helped me land a job less than a month after we first spoke. I felt super supported at every step of the multi-stage interview process, and she's always been available with great advice whenever I needed it. Definitely a high-quality recruitment experience.

Jenny Wong


Nothing but a positive experience working with Averity and Samantha Hoffenberg in particular. Professional, attentive and extremely supportive every step of the way. Samantha actually took the time to really understand my background - no cut and paste here. Shortly thereafter I was matched with three opportunities that really fit my skillset and where I was at in my career. Prepping for interviews was concise and relevant and I was kept informed every step of the way. No guessing where I was at in the interview process. No waste-of-time body count interviews. It was obvious Samantha had solid, long-lasting relationships with the firms I interviewed with as the feedback was always informative. This is one recruiter I can and do actually recommend and the first person I will be calling if the need ever arises again.

Vincent Melia

I had a great experience working with Averity. The team was continually attentive, and very effective at presenting me with the right opportunities and advocating for me throughout the offer stage. I'd highly recommend them!

Matt Kravetz

Chris Descrescenzo and the team at Averity are phenomenal. 5 stars are simply not enough! I've worked with quite a few recruiters in the past but Chris Descrescenzo and the Averity team are exceptional. I just landed an incredible job opportunity after a single interview. Especially in this tenuous economic climate, I truly appreciated the steps and care Chris took. He was incredibly generous with his time, and made sure the position was a good match. Then, he sent me incredible prep notes which were invaluable. He followed up with me every step of the way and was always there to talk through every possible question. I have never had a more successful interview process. Hands down. I could write a novella about his knowledge, kindness and professionalism. But simply put: He is the best. Thank you!

Amy Morrison

I worked with Chris De Crescenzo from Averity, he reached out to me with a role that was right in line with my skills at the time. The role was a great fit for me with an awesome company, and he kept me up-to-date and informed at each turn of the interview process. In almost no time I was at the final interview step and Chris walked me through the on-boarding process and how to go from there. He was a pleasure to work with and professional, ensuring I was prepared at each step of the way so that I was primed for success. It was great working with Averity and especially him!

Christopher Jativa

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