Senior Machine Learning Engineer (Recommendations)

  • Knowunity
  • Hybrid (Berlin, Germany)
  • 17/05/2024
Full time Machine Learning Artificial Intelligence Software Engineering Data Warehouse

Job Description

About us
We are Knowunity, Europe's fastest growing EdTech app. Our goal is to create a future where every student can access, enjoy, and benefit from quality education. Since founding Knowunity in 2020, we have been committed to revolutionizing how students learn and consume education on a global scale. Today, we are the daily learning companion of over 12 million students across 9 countries in Europe and the U.S. We bring together a global peer-to-peer community that supports each other throughout school, and our mission is to grow this community to 20 million students in 2024 and beyond.
Backed with over $25 million in funding by leading VCs and angel investors, including Project A, Redalpine, Stride, Mario Götze, Verena Pausder, and more, we are heavily focused on building the AI-driven daily learning companion for every student on the planet. Together, we are leading the transformation of making education accessible, social, and impactful for all.
 
Become part of our educational revolution - we are ready to change the world!
Your mission
We are looking for a motivated Senior Machine Learning (ML) Engineer who will lead the building of recommendation algorithms that will further enhance the learning experience for our users. As Senior ML Engineer, you will be part of our team of highly experienced developers and will report directly to Gregor Weber, one of Knowunity’s Co-Founder.
 
Your mission will be to...
  • Lead the building of large-scale recommendation algorithms and systems, including content recommendations in Knowunity
  • Productionise recommendation algorithms for over 12 Million students
  • Extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently
  • Closely collaborate with the search team to improve search relevance through recommendations
This mission is awesome, because you will…
  • Shape the recommendation system at Knowunity and thereby helping students succeed
  • Play an integral part in the expansion of Europe's fastest growing EdTech Startup
  • Have direct impact with your decisions on millions of students from around the globe
Your story
  • 5+ years of programming experience
  • Experience in building recommendation systems at a bigger scale using Collaborative Filtering, Matrix Factorization, Deep Neural Networks, etc.
  • Ability and desire to rapidly learn new technologies and use different approaches to problem solving
  • Business fluent in English
  • You believe in the power of speed and execution and love to get your hands dirty
  • You are obsessed to serve the user and strive to deliver over sticking to processes
What we offer
Memberships: Urban Sports Club, become.1, Likeminded
Discounts: corporate benefits, FutureBens, Plantclub
Events: Team events, company events, sports & wellbeing events
Development: Personal development budget, hackathons, mentoring
Office: Breakfast, fruits & snacks, coffee, tea & soft drinks, dog friendly
Remote: Hybrid work, travel budget, team workations
Our Tech Stack
How to apply
Did we spark your interest to join our educational revolution? We encourage you to apply even if you do not meet all of the requirements.
 
We can't wait to hear from you!
At Knowunity, we actively foster an inclusive and diverse workplace that ensures equal opportunity for all qualified applicants, regardless of nationality, ethnic or national origin, skin color, religion, sex, gender identity or expression, sexual orientation, physical or mental disability, or marital status. Please refrain from including your picture and age with the application.