Stylight: Machine Learning Engineer

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