Rapidly build NLP models that continuously improve
We're reimagining how humans and AI work together. Going from where we are to where we need to be will involve solving many interesting research problems as well as productionising the state-of-the-art in ML.
As a Machine Learning engineer, you will play a key role in solving these research problems and helping to write high quality ML software.
As a Machine Learning Engineer at Humanloop, you will be part of a great team pushing the boundaries of NLP and interactive Machine Learning.
We believe that talented people come from all sorts of backgrounds so we don't look for specific qualifications. We do need you to be able to demonstrate that you have a good understanding of ML and NLP fundamentals and that:
We were founded right as the world went into the Covid-19 lockdown and were birthed as a remote first company. We see many benefits to being remote and plan to be that way for the foreseeable future. We also believe that building strong culture and innovating require trust and facetime, so we want to be able to meet in person at least once a month.
As a result we will be fully remote for at least the next year but you must have the ability to travel to London at least once a month for a day or two.
Respond to this ad and tell us a little about why you want to join the team and your passions and interests.
Almost every company could benefit from software that better understands language but building NLP systems today requires specialist expertise and unreasonable amounts of human annotated data. We're fixing that.
Our team have previously worked on some of the largest AI projects at Google, Microsoft and Amazon as well studied ML at UCL and Cambridge and we're backed by some of the world's top investors like Index Ventures and Y Combinator.
If you like
Then you'll fit right in!