We (Epistemic AI) are looking to hire a new data engineer to work on the data foundations of our Epistemic AI platform – anywhere between UTC-8 and UTC+3.
Requirements:
- you get shit done
- you want to work remotely
- you are great to work with
- you think that working on democratizing access to AI for biomedical research is a very important personal goal
Our technology stack is based on AWS (Cloud), Python 3, Tensorflow, Pytorch (NLP, ML, Deep Learning), Graph databases, 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.
Very interested, will be applying soon! Just under 10 years total experience, 8 of that as some form of data engineer and the latter 5 being heavily focused on ML infrastructure/ops/tooling with one of my favorite roles being in biomedical research (digital twins for chronic illness - and my academic background is in neuroscience). Looking forward to learning more.
Hey,
I am a software engineer/full stack with 5 YoE in which I have worked as a founding engineer in a couple of startups and all of them were globally remote. Can I ping you my CV?
Interesting concept, using NLP for biomedical research but I'm not sure how the nuts and bolts would work; I'm a 2nd year AI and ML student (US based) taking next semester off and thinking about jumping ship to Cybersecurity, any chance of an internship to see what is under the hood in this space?
All I've seen was a flood short-lived froth caused by LLM hype and to be honest I'm not sure that is going anywhere that OpenAI hasn't already been in these last 6 months.
We (Epistemic AI) are looking to hire a new data engineer to work on the data foundations of our Epistemic AI platform – anywhere between UTC-8 and UTC+3.
Requirements:
- you get shit done
- you want to work remotely
- you are great to work with
- you think that working on democratizing access to AI for biomedical research is a very important personal goal
Our technology stack is based on AWS (Cloud), Python 3, Tensorflow, Pytorch (NLP, ML, Deep Learning), Graph databases, 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.