APPLYING MACHINE LEARNING TO PROCESSES, NOT PEOPLE
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.
ABOUT THE JOB
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
QUALIFICATIONS THAT CATCH OUR EYE
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 German or Russian is a plus; English is required