Crazy! This sounds very fun. I don't have the time nor the mental capacity, but I'm envious!
It's a shame that the word categorical has already been applied to deep learning (categorical deep q networks a.k.a. C51, and Rainbow), because yours is arguably a more natural use of the name.
Oh man, I am not looking to switch companies right now, but this sounds amazing. I'll be following you guys.
Also: I could swear I saw you comment on something Mathematica related a long time ago. Is there a Wolfram connection here?
In another life!
How demanding is this for someone self taught CT up until Natural Transformations and dabbles a bit on other more common CT constructions (SCMC Categories & Co), F-Algebras ? I do have quite some experience with Haskell and Theorem Provers and this sounds super fun but also all the fancy keywords scare me as I am not super into ML/DeepLearning nor have a PhD (only a MSc in SWEng). Is there room for learning on the job?
Yes, get in touch with me.
Hi, I tick the three elements in the set (my last Haskell was a few years ago, though). I opened the link last week and saw some positions in London (and Australia, for that matter) and now there aren't any positions showing there (just a couple ones in California). Is it a glitch, or have you fulfilled all positions outside California already?
We're trying to apply the insights of category theory, dependent type theory, and functional programming to deep learning. How do we best equip neural nets with strong inductive biases from these fields to help them reason in a structured way? Our upcoming ICML paper gives some flavor https://arxiv.org/abs/2402.15332 ; you can also watch https://www.youtube.com/watch?v=rie-9AEhYdY&t=387s ; but there is a lot more to say.
If you are fluent in 2 or more of { category theory, Haskell (/Idris/Agda/...), deep learning }, you'll probably have a lot of fun with us!
Check out our open positions at https://jobs.gusto.com/boards/symbolica-ai-67195a74-31b4-405...