Do you want to join a fast-paced startup and work on the bleeding edge of recommendation systems, where your work immediately impacts the user experience for millions of users? We are looking for a Fullstack / Backend Engineer who thrives in a fast-moving environment.
What you will be building:
Recommendation systems that are guaranteed to always show relevant recommendations for any scenario and that are easy to maintain, deploy and improve.
We need someone who we can count on to:
🙋 Own: Improve our recommendation systems for new and existing customers, improve tooling to deploy, introspect and monitor our recommendation systems to constantly make them better.
💻 Teach: What's possible and what's not possible? Tradeoffs between iteration speed and complexity of architecture. How to build a system that is easy to debug and that fails gracefully if there would be changes in the input data.
🎒 Learn: Our approach to recommendation systems, data engineering best practices, machine learning basics.
🚴 Improve: Robustness, performance, and observability of our system, to delight the end-users of our product.
Desired skills and qualities
We expect you to:
Within 1 month we expect you to:
Within 3 months we expect you to:
Within 6 months we expect you to:
Within 12 months we expect you to:
This job comes with several perks and benefits
Get your caffeine fix to get you started and keep you going.
Time is precious. Make it count. Morning person or night owl, this job is for you.
Social gatherings and games; hang out with your colleagues.
Easy access and treehugger friendly workplace.
Want to be a partner? Look no further.
Friday is something special, let's enjoy a beer together.