Machine Learning Engineer

Movers passionately pull together - with a spirit of innovation and creativity they develop tomorrow's products today. Movers have made Schmalz the market leader in automation with vacuum and for ergonomic handling systems . Are you a mover? Then you are a perfect fit for a dynamically growing family company: Schmalz.

For our locations in Stuttgart, Glatten or in the home office, we are looking for you as

Machine Learning Engineer (m / f / d)

• Creation and testing of training approaches for learning neural networks for the segmentation of point clouds and the optimized detection of gripping points
• Identification of business requirements based on customer needs
• Preparation of data for training machine learning models or selection of trained models
• Selection of the most suitable models based on criteria such as performance and speed
• Introduction and use of production-ready models

• Successfully completed degree in computer science or a comparable degree
• Several years of relevant professional experience in an industrial environment
• In-depth understanding of machine learning / deep learning in relation to 2D / 3D image data and statistics as well as experience in image processing / computer vision
• Very good programming knowledge in Python and C # as well as experience with ML libraries and the associated productive environments, e.g. TensorFlow, PyTorch, under Linux and Windows
• Very good knowledge of using OpenCL, OpenGL or CUDA
• Interested in actively helping to set up a new area of application