Internship Machine Learning

Job description

ZEISS Microscopy - Innovation down to the smallest detail ZEISS Research Microscopy Solutions is a world leader in the manufacture of microscopy systems for the visualization of the tiniest structures and particles in the fields of research and science. Our light, electron and X-ray microscopes as well as software solutions that utilize AI technology enable groundbreaking discoveries in life science, materials and industrial research as well as for education and clinical practice. Renowned scientists rely on ZEISS microscopes for their research, including Robert Koch, who discovered the tuberculosis pathogen around 1900. Become part of our team and shape the microscopy systems of tomorrow! Your Role You will play a crucial role in bringing new ML and CV functionality to our new revolutionary digital microscopy online platform at ZEISS Together with our team of software developers and machine learning engineers you will work on improving our automated machine learning and computer vision toolset You will have the possibility to improve your knowledge in areas such as automated ML pipelines, scalable ML infrastructure or our framework for training computer vision algorithms As the leading microscopy company, we have an unlimited number of use cases for ML and CV. Datasets ranging from neuron and other cell biology images to microscopic images acquired in industrial quality labs provide us with exciting new challenges every day. Your Profile Currently enrolled in Computer Science, Data Science, Software Engineering, STEM, or a related field Finding pleasure in developing production-ready software in Python, demonstrated by a portfolio of projects Active user of version control (git) Good understanding of the principles of modern Deep Learning and Computer Vision algorithms Proven track record of contributing maintainable code to team projects or open-source projects Deep curiosity and willingness to dive into new subject areas Self-motivated personality, independent working style and collaborative mindset Fluent in English or German Sounds exciting? Then become part of #teamZEISS and help us shape the future! Please provide your complete application documents (CV, transcript of records). Your ZEISS Recruiting Team: Ines Kloda