ginger_beer_m

My question is why would someone want to send their data to some api on the cloud rather than processing it locally himself using the numerous open source packages available to do this sort of thing?

Do you get enough paying customers for your startup? I imagine labs tend to be hesitant before they approach startups for solutions to their problems..

Yeah, working in academia, with its endless proposals and grant applications, is a bit like running a start-up that never succeeds.

> “We’re looking to do transformational work with our customers,” Gavin Hood, Palantir’s chief of staff, said in an interview with BuzzFeed News. “Finding the right partner to do that transformational work takes a lot of care and a lot of attention.” He added, “There’s a lot of reasons why that doesn’t always work out.”

Sure it's hard to find suckers who will give you million of dollars for poorly defined return.

it appeals to that primitive instinct of belonging to a pack, fostering an us-vs-them mentality. this way, you are less likely to leave and are encouraged to give your 110%

Being a small startup (?), are you sure you have the capability to sponsor visa?

I'm also concerned by the fact you're looking for someone to work on NLP/deep learning stuff, which forms the core offering of your company, but that person will be an engineer rather than standing on equal footing as a co-founder.

What's the position in glasgow for? Anything ML related?

I work in bioinformatics and I can confirm that most biologists feel very uncomfortable in the idea of having to touch LaTeX. As a result, in our collaboration project, I'd have to survive with using Word+endnote. It's a fairly painful experience..

I know word2vec and LDA separately, but what does this work do? Somehow combine the word similarities from word2vec when forming LDA topics?