How to shuffle a big dataset
At Jane Street, we often work with data that has a very low signal-to-noise ratio, but fortunately we also have a lot of data. Where...
At Jane Street, we often work with data that has a very low signal-to-noise ratio, but fortunately we also have a lot of data. Where...
Last year we held a machine learning seminar in our London office, which was an opportunity to reproduce some classical deep learning results with a...
Yet again, intern season is coming to a close, and so it’s time to look back at what the interns have achieved in their short...
With the external release of OCaml 4.07.0 imminent, we in Jane Street’s Tools & Compilers group have been planning what we want to work on...
Expect tests are a technique I’ve written about before, but until recently, it’s been a little on the theoretical side. That’s because it’s been hard...
One of the joys of working at Jane Street for the last 15 or so years has been seeing how our software stack has grown...
Imagine a system for editing and reviewing code where:
Interested in learning OCaml? In the NYC area? Then this might be for you!
People often think of formal methods and theorem provers as forbidding tools, cool in theory but with a steep learning curve that makes them hard...
As Jane Street grows, the quality of the development tools we use matters more and more. We increasingly work on the OCaml compiler itself: adding...
This post is aimed at readers who are already familiar with stochastic gradient descent (SGD) and terms like “batch size”. For an introduction to these...
It’s time for our next Jane Street Tech Talk. When we’ve solicited suggestions for topics, one common request has been to talk about our internal...