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380 points whoishiring | 1 comments | | HN request time: 0.215s | 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

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1. spac ◴[] No.21131123[source]
Epistemic AI | VP Engineering | Remote (US Only) or New York | VISA | Full Time

At Epistemic AI we are building the next generation of tools to accelerate biomedical research with AI and NLP.

We are a group of world-renown scientists and engineers from the likes of Google, NASA, Two Sigma, New York University, and more. We are dedicated to enabling advances in biomedical research and practice with AI and NLP.

Our partners include some of the greatest biomedical institution in the world, and our scientific advisory board includes AI stars such as Andrew McCallum and Kyunghyun Cho.

We are creating a movement of people enthusiastically committed to a new vision for the future of biomedical research.

We are looking for an experienced engineering manager to join us as the VP of Engineering with the potential to become the company’s CTO. If you have 10+ years of professional software engineering experience and have spent a significant chunk of it managing engineering teams and orgs, we would like to hear from you.

Our technology stack is based on AWS (Cloud), Go (Infrastructure), Python 3, Tensorflow, Pytorch (NLP, ML, Deep Learning), AWS, Graph database), Typescript and React (Frontend). We have a CI/CD pipeline and a continuous release process. We train ML and NLP models on clusters of GPUs on Amazon and on Google Cloud TPUs.

If you're intrigued and want to come help advance biomedical research please drop us a line at jobs@epistemic.ai