- it's free
- markdown (or orgmode) based local first
- open source
- PDF annotator (fantastic for scientific papers)
- Built in spaced repetition
- very fast
VantAI | Senior Software Engineer & Machine Learning Engineer | New York, United States | Remote (US) | https://www.vant.ai
VantAI is using Machine Learning to develop completely novel class medicines using a novel approach called targeted protein degradation. We're a ~30 people company started out of Roivant (which IPO'd today). We're looking for Senior Software Engineers who love scaling large scale Kubernetes deployments (>100k CPUs), and work with Go, Rust, Python and Typescript. We're also looking for Machine Learning Engineers with strong research/publication record (PhD) and experience in scaling large language models (ideally Transformers)
Tired of niche SaaS productivity tools, want Deep Tech? We're a ML-first Biotech. We run large scale simulations and ML models to discover novel medicines from a class of drugs called targeted protein degraders, this is a super exciting new type of medicines that'll allow us to tackle a bunch of really nasty diseases. We already have very strong traction and work with some of the worlds largest pharma companies on this topic.
You'll help us scale and build out our K8s cluster, backend and possibly some frontend. We're a bunch of mission-driven scientists, so this ideal for someone with strong intellectual curiosity to learn more in biology, chemistry, Machine Learning, you'll work side-by-side with some of the best scientist in these areas.
We use a mix of Go, Rust, Python and you should be comfortable will all of them, and have no problem scaling Kubernetes over 1000s of GPUs and 100's of thousands of CPUs. Experience in deploying/training large scale ML is a plus. We also build apps, so React/TypeScript experience is another plus. You should have 2-3 years experience in building such large scale systems.
- it's free - markdown (or orgmode) based local first - open source - PDF annotator (fantastic for scientific papers) - Built in spaced repetition - very fast
Can highly recommend it