Machine Learning Engineer (m/f/d) - Industrial Data Science and Software at Smart Steel Technologies GmbH (Berlin, Deutschland)

 Stack Overflow ·  11.06.2019


At Smart Steel Technologies, we are building a one-of-a-kind cross-disciplinary team, uniting the worlds of steel and machine learning. Our team has come together from a diverse set of academic and professional backgrounds: software development, computer science, mathematics, physics, and metallurgy. Our goal is to leverage this expertise through trust and cooperation. We want to foster an environment where team members have frequent opportunities to learn from each other in fields that they are not (yet) experts.

The machine learning and data science we employ comes in several varieties: image processing, signal processing, classical supervised modeling, unsupervised methods, and fundamental statistics and probability. As a machine learning engineer, your specific expertise as well as your motivation would be the major factors in determining your day-to-day work.

We are grateful to stand on the shoulders of the open source giants. We use NumPy-flavored Python3 as the basis for our development, taking advantage of the availability of libraries designed for both software engineering and data science, ranging from Flask to SciPy, SQLAlchemy to Keras, Jupyter to Pandas, and many more. When Python’s time or space complexity becomes a constraint, we turn to modern C++. When we require client-side browser-based interactivity, we turn to JavaScript.


Apply modern machine learning methods to optimization and quality problems in industrial processes

Tune and optimize neural networks, both bespoke and pre-architected; shallow, deep and recurrent

Maintain an up-to-date understanding of advances in machine learning and its implementations

Develop and provision software for online learning and prediction in industrial systems


Bachelor’s, Master’s or Ph.D. in Computer Science, Statistics, Mathematics, Physics or Engineering

Experience in working with raw industrial data sets, especially with a variety of storage formats

Experience in software engineering or operations, especially in a full-stack development environment

Fluency in Englisch, German and Russian a plus


Balance of autonomy and hierarchy

Transparent business strategy

Multidisciplinary team

Meaningful industrial problems

Modern Machine Learning

Sleek new office in Berlin

Educational opportunities

German language courses and public transport for free — ein Projekt von DIPLANET Digital Solutions Impressum