Machine Learning Lead (F/M/D) // Wunderflats

Wunderflats | Berlin, Germany

Date listed

2 weeks ago

Employment Type

Full time

We at Wunderflats enable people to be in the right place at the right time in order to take on opportunities and realise personal ambitions. Imagine you could go anywhere for a couple of months without having to worry about how you will find an apartment: Our mission is to turn this into reality and to shape the future of housing. We believe that Machine Learning will power the cognitive engine of our product, pave the way for internal organisational transformation and disrupt the digital housing ecosystem by providing the perfect matching solution between tenants and their dream homes. As the Machine Learning Lead (f/m/d), you will be responsible for the overall strategy and its execution to drive innovation with architectural designs and state of the art algorithms. Working in close collaboration with the Head of Data and Advanced Analytics, you will lead a diverse, highly skilled and professional team of Machine Learning Engineers and Data Scientists. You will be a driving force in scaling our existing Machine Learning infrastructure and drive ROI-positive outcomes with solutions that embed every facet of the business. YOUR MISSION

  • Be a visionary: Successfully build the strategy and vision for the development of Machine Learning solutions on our platform that shape the future of housing
  • Be an initiator: Design and develop the architecture for our ML solutions that will create impactful outcomes for the business
  • Be an optimizer: Take responsibility for the continuous development of ML solutions and improve existing ML engineering practices with designs that simplify and excite
  • Be a leader: Lead and scale a world-class team of ML Engineers and Data Scientists
  • Be a connector: Link ML outcomes to actual business metrics and work closely with stakeholders at the C- and management level to ensure delivery of impactful solutions
  • You have a Masters degree or PhD in Computer Science, Statistics, Mathematics or equivalent studies
  • You have gained 3-5+ years of hands-on experience in productionising ML solutions with a track record of obtaining ROI-positive outcomes
  • You have a strong command of Python, Airflow, Git, Unix, Kubernetes and GCP
  • You possess detailed know-how on software development principles such as project architecture, test-driven development and CI/CD Code reviews
  • You are highly proficient in ML frameworks like Spark MLlib, Tensorflow, Pytorch, XGBoost, or Scikit-learn
  • You have experience with Big Data platforms and tools such as Apache Spark and Databricks
  • You have 1-2 years of experience in leading and managing teams between 2-5 people
  • You stand out with great project management skills to charter, manage and complete projects over a defined timeline for a determined budget
  • You possess excellent communication skills, as well as well-versed written and verbal English skills
  • The opportunity to actively shape the future of housing with Machine Learning solutions that create the perfect match between tenants and their dream homes
  • Join the best team ever (100 people, healthily growing) with a truly unique employee experience - check our Kununu and Glassdoor scores
  • We provide relocation support if you are moving to Germany
  • We work with Macs, but you get to choose your own device
  • A state-of-the-art tech stack
  • An easy way to get to work: Our office is centrally located at Alexanderplatz
  • Flexible and family-friendly working hours and maximum home office flexibility (due to the current situation, the entire team works completely from home)
  • Numerous benefits such as yoga, football table, PlayStation 4, regular team events and many more (all in line with current regulations due to Covid-19)
  • You will be provided with cereals, fresh fruits, and drinks
If you want to play an important part in evolving a “grown-up” startup with a sustainable company vision, please apply. Send an email with a couple of sentences about you and why you want to join our team as well as your CV to Katharina via [email protected]