Machine Learning Working Student (m/f/d) - Industrial Data Science and Software

Job description


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 working student, 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

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

Job requirements


  • Bachelor’s or Master’s in Computer Science, Statistics, Mathematics, Physics or Engineering

  • Experience in working with raw and unstructured industrial data sets

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

  • Experience with modern web technologies

  • Fluency in German and Russian is a plus; English is required


  • Transparency of business strategies
  • Autonomy balanced by responsibility
  • Cohesive, multidisciplinary team
  • Meaningful industrial problems
  • Modern machine learning techniques
  • Sleek, new office located in Berlin
  • Professional educational opportunities
  • German language courses and public transport included