We’re looking for a Working Student (Software Engineer) well versed in Python to become part of our development team in Munich. You will be working on CLI, API and Backend of our deep learning platform. If you want to play a key role in changing the landscape of deep learning in production, maiot is the place for you!
maiot is working in the field of deep learning operationalization. Our vision is to expedite and optimize the process of bringing machine learning models from research into production. Our Core Engine platform is an end-to-end deep learning platform that lets developers train and deploy models at scale. We are quickly growing and constantly looking for motivated team members to join. What unites us is our passion to work on cutting-edge technology, the willingness to go ‘one step further’ and the great fun we enjoy together at work and in our free time.
Send us an email and apply!
Your application should at least contain your full curriculum vitae. Relevant certificates or documents can of course be included. Put all of them in an email and send it to: email@example.com
Once you apply our team will carefully review your CV and application in an initial screening. After that your journey with us will follow this outline:
In a short phone call we will give you the gist of the position, give you the chance to ask initial questions and allow us to get a feeling for you as a person. We strongly believe in our culture and want to get to know you. What movitates you, where do you come from - WHO are you?
We don't like whiteboard interviews and weekend-filling coding challenges. You're a pro, and we want to give you a platform to show that - in an environment you like. Your editor, your machine, your setup. All our challenges will be based either directly on the role you applied for or be as similar as it can get, because you deserve to get a glimpse at what you'll be doing, too.
This will be the main interview, and most importantly your chance to get to know us. We want to know your superpowers, your skills that make you you. And since you spent time on the challenge we gave you we'd like to know how it went, how did you solve it, can we improve it?
Every journey has its finale. You'll meet your future team and get the chance to talk shop with them.