ML Jobs Newsletter - Issue #18

Welcome to the spring season!

We have another super practical post from SharpestMinds about ‘the problem with data science job postings’ and a more technical piece digging into the potential for generalizable reinforcement learning with ‘Everything you need to know about Google’s PlaNet Reinforcement Learning Network’

Plus, if you didn’t already catch the latest updates around NeurIPs and their new call for paper criteria that requires answers to the Reproducibility Checklist, find out more here.

One quick plug: at Comet, we publish and share the latest in technical machine learning content every week — so make sure to follow us on Medium and Twitter! ☄️☄️☄️

Comet is doing for ML what GitHub did for code. We allow data science teams to automatically track their datasets, code changes, experimentation history and production models creating efficiency, transparency, and reproducibility.

This bimonthly newsletter gives you access to the latest machine learning roles across the world.

If your company is hiring for awesome data scientists, machine learning engineers, or research scientists and would like to be included here, send an email to me at cecelia@comet.ml

Data Scientist - Cl0udflare (Austin, TX)

Cloudflare runs one of the world’s largest distributed networks that powers more than 10 trillion requests per month, which is nearly 10 percent of all Internet requests worldwide. As part of this initiative, the team is looking for a strong data scientist to come join Cloudflare and help them drive predictive analytic insights and best practices at scale from the ground up.

This is a high visibility role and success in this role comes from marrying a strong data & modeling background with acute product and business acumen to deliver highly strategic and compelling insights that accelerate our business growth and influence our product decisions within Cloudflare.