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380 points whoishiring | 1 comments | | HN request time: 0.259s | source

Please state the job location and include the keywords REMOTE, INTERNS and/or VISA when the corresponding sort of candidate is welcome. When remote work is not an option, include ONSITE.

Please only post if you personally are part of the hiring company—no recruiting firms or job boards. Only one post per company. If it isn't a household name, explain what your company does.

Commenters: please don't reply to job posts to complain about something. It's off topic here.

Readers: please only email if you are personally interested in the job.

Searchers: Try https://findwork.dev/?source=hn, https://kennytilton.github.io/whoishiring/, https://hnhired.com/, https://hnjobs.emilburzo.com, https://news.ycombinator.com/item?id=10313519.

Don't miss these other fine threads:

Who wants to be hired? https://news.ycombinator.com/item?id=21126012

Freelancer? Seeking freelancer? https://news.ycombinator.com/item?id=21126013

1. krawczstef ◴[] No.21132784[source]
Stitch Fix | San Francisco, CA | H1-B Transfers | Senior (to principal) Software Engineer - ML Platform | Full-time | Onsite ABOUT THE TEAM The Model Lifecycle (ML) team is a nimble group of hybrid machine learning-data platform-software engineers that are focused on enabling data scientists to more easily create, integrate, deploy, manage, and evaluate their models. We have wide latitude to choose how we go about enabling our data scientists. As a team, we are driven by the thrill of helping our colleagues iterate faster and with less friction, which ultimately increases the velocity at which the business can progress!

ABOUT THE ROLE - [official job posting isn't up yet - so apply to https://www.stitchfix.com/careers/jobs?gh_jid=1688418&gh_jid...] * IC position on the model lifecycle platform team, which is part of the data platform team within our Algorithms organization * We build a variety of services, tooling, & infrastructure that aims to support the model lifecycle here at Stitch Fix: development, backtesting, model evaluation, workflow creation, continuous model deployment, etc. * We're a very fresh team, so there's plenty of new things to build!

Tech-Stack: python3, docker, python3, spark, presto, druid, React.js, R, golang...