Machine Learning Engineer

Job Description

We’re a remote-first engineering team of 25 people distributed in 14 different countries. A priority for us is maintaining proper work-life balance. We avoid meetings as much as possible, accept deadlines only when absolutely necessary, and never expect anyone to work longer hours than they’ve signed up for. A day in our working lives is pretty boring in this regard, and we feel that’s exactly how it should be.

Working with us means you can be flexible with your schedule. It’s OK to disappear for a few hours in the middle of the day to run some errands, get a haircut, pick up the kids — whatever reason, you don’t need to explain yourself. You also fully decide when you take time off: our team is sufficiently varied and well organized that there are always enough people around to handle the load, and in the rare cases it’s not, we will decrease the load instead of asking people to move their holiday.

Being remote-first means we favor asynchronous communication. We don’t shy away from chatting in Slack, but the important decisions or discussions are done in Gitlab issues, over email, or in our wiki, so there’s a written, persisted record. We’re mindful of maintaining long chunks of focussed time, which means we avoid @-mentions or PMs on Slack, and other triggers and interrupts. We encourage using Slack’s DnD function, especially when you’re not working!

We’d be really happy to welcome you in our #engineering channel, but it’s not just virtual: we make sure we regularly get to see each other in real life too, as long as there’s no pandemic going around. Twice a year we fly the whole engineering team together to a different location in Europe, and at least once a year we join up with the rest of the company so we can spend some time together with the other departments.

Software for accountants is not considered to be very exciting, but we have our fair share of technical challenges. To give you a sense of scale: our database exceeds 7TB, and our largest table recently crossed the 10 billion row mark. We interface with more than 30 different external APIs, and provide third parties an API of our own.



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