Research Lead Machine Learning (m/f)

OUTFITTERY is Europe’s largest Personal Shopping Service for men. We know that shopping isn’t a pleasure for every man, but we’re here to change that! This is why we set a clear goal: a world where men have time for the important things in life and are still well-dressed.

Are you looking for an amazing playground, where you can apply your machine learning skills? Do you want to take over responsibility in building up a data driven company? Do you want to bring out the best in your team? Then become part of our Data Department as Research Lead Machine Learning (m/f)!

The team:
The Data Science team works at the intersection of statistics, machine learning and engineering to tackle some of the most challenging and interesting problems, ranging from deep learning, multi-modal feature representation to working with unstructured text data. Our goal is to create an AI that is as knowledgeable about fashion as a human stylist. Moreover, the team plays a decisive role part in the company’s strategy to become data driven.

The ideal candidate has a strong background in Machine Learning research and is passionate about solving real-world problems. We are looking for someone who believes in implementing and testing ideas rather than talking about them; someone who loves building data products and models.

The role:
In this role, you will guide a team of data science researchers to conceptualize, implement and evaluate state-of-the-art algorithmic solutions. To this end, you will mentor other data scientists, serve as expert in all aspects of machine learning. You will be likewise responsible for leading exploratory research initiatives and supervising the transfer into a final product. This is an opportunity to work in a highly impactful, visible role that will be transformative to Outfittery. The ideal candidate should be equally comfortable developing mathematical models, writing code, choosing appropriate statistical methods, mentoring other data scientists and being accountable for the success of research projects.

Your qualifications:

  • PhD (or comparable) degree in machine learning, computer vision, data mining, or similar
  • Academic track record and experience in leading research projects in one of the following areas: Deep learning, Bayesian inference, computer vision, recommender system, or natural language processing
  • Excellent theoretical and practical machine learning knowledge
  • Experience in mentoring and leading data scientists
  • Solid software engineering skills for prototype development and the implementation of experimental setups
  • Deep skepticism of buzzword mumbo jumbo, plus the ability to identify and debunk false assumptions and analytical flaws is a strong plus


Our expectations:

  • You manage the team’s roadmap and prioritize the projects
  • You keep the team on track
  • You give productive and honest feedback
  • You provide guidance and theoretical support to the team members
  • You promote the data-perspective in the company

Our offer:

  • Data, data, data
  • An highly impactful and creative role in a company with Data Science at its core
  • An amazing playground for all sorts of machine learning applications
  • A proprietary world-class A/B testing platform
  • An internal test and data production crew at your disposal
  • A high level of personal responsibility and a great deal of creative freedom
  • An honest and open feedback culture and individual development opportunities


Intrigued? Then send us your application with your salary expectations and possible starting date. Your contact person is Eva Cortes Romero.