Snappet is looking for a Machine Learning Engineer who will join our Machine Learning and Data Engineering teams and take full ownership of developing, deploying and maintaining new machine learning functionality.
Help improve the learning results of children: that’s what we aim for at Snappet. We develop smart software that enables teachers and children to get the best results. On a daily basis our software is used in over 3500 schools across Europe and USA and used by more than 300.000 students. We value the continuous improvement of our products to support all these schools and students and we are inspired by working to improve the life prospects of our young users.
As (Senior) Machine Learning Engineer you play a crucial role in the continuous improvement of learning results. Our crucial models are updated for each of the millions of exercise answers we process daily during school hours and providing millions of personalized exercise assignments. You will be designing and building cloud-hosted solutions capable of analyzing massive data and drawing the right conclusions, using the insights from the data science and research team while enabling automated updates to models and short cycle times for newly to-be-built models. We are currently busy re-designing our entire knowledge tracing approach using state of the art sequential neural networks on our proprietary dataset with over a billion user-item interactions, to achieve what we think will be the best knowledge tracing and personalized tutoring system for elementary education to date.
You collaborate closely with the other data and machine learning engineers in your team, and with our researchers, data analysts, data scientists, testers, software developers, and product owners. You take full ownership and won't be put off by complex problems or massive amounts of data.
We believe in Agile and autonomy. We release fast and often. We are driven by the fact that we actively contribute to improving education. Our teams are empowered to work in the best way possible. We continuously improve our working environment. Besides the teamwork, development teams regularly experiment and learn new technologies and collaborate with others on this. We have monthly ‘pizza sessions’ where we get together and share knowledge on all things tech or fun.
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