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Stylight: Machine Learning Engineer


We are looking for an experienced Machine Learning Engineer who wants to liberate us from manual classification. We use English as our main language.



Stylight At: Stylight
Location: Munich, Germany
Web: www.stylight.com


We are looking for an experienced Machine Learning Engineer who wants to liberate us from manual classification. We're a fashion and lifestyle company but you won't have to wear the latest fashion trends. A hoodie will do just fine. You don't speak German? No big deal, we use English as our main language.

Our Tech Stack
  • We are currently building the next generation of our Deep Learning framework for multimodal learning.
  • Our go-to coding language is Python, and our favourite tools are Scikit-learn and TensorFlow+Keras.
  • For a list of tools we use and love company-wide, see stackshare.io/stylight Your Responsibilities
  • Build, train and improve innovative Machine Learning / Deep Learning algorithms to distil information out of text and images and classify products.
  • Take your polished prototype models into production and maintain the currently existing ones.
  • Setup of monitoring for a continuous model performance evaluation.
  • Collaborate in company-wide Machine Learning and Data Science projects.
  • Always stay up-to-date with the latest research and insights in the field of Machine learning.
Your Profile
  • M.Sc. or Ph.D. in Machine Learning, Computer Science or a related field of study.
  • Excellent understanding and experience in (Deep) Machine Learning, Data Science and Statistics.
  • Demonstrable experience with toolkits such as NumPy, Scikit-learn, TensorFlow, Keras, Jupyter notebooks, SQL and/or Spark.
  • Strong programming skills in Python.
  • Experience in deploying Machine Learning pipelines as well as working with AWS clusters is a big plus.
  • Great team player with superior communication skills.
  • If you hear the word "banjo" on the street, you stop for a moment to check if they're talking about music or deep learning.
Your Team
  • We are an international and cross-functional team responsible for the correct classification of products to support our users in finding exactly what they are looking for.
  • We work in an agile environment applying Scrum and Kanban to our daily working life.
Why Join Stylight?
  • We'll give you a personal development budget, to go to conferences, buy books and grow with us.
  • International and diverse workplace: 44% non-German and 65% female.
  • Stylight is #1 Meetup organizer in Munich, and deeply involved in the local tech community.
  • We organize daho.am, our own annual developer conference. Top-notch speakers and 800 attendees.
  • We have one of the best office spaces in Munich (and actually in Germany)
  • Experience Munich: Our office is in the city-center, and just a 10 minutes walk from the nearest biergarten.
For more information check out: tech.stylight.com/

_Contact_:
Looking good? Does this sound like the perfect job for you? Then do not hesitate and
apply online here.

We are looking forward to receiving your application. Your contact: Carina Meyer