Workingstudent (m/f/d) Machine Learning and Computer Vision

at  Rohde Schwarz GmbH Co KG

YOUR QUALIFICATIONS

• Enrolled master student in Computer Science / Electrical Engineering or similar field
• Good knowledge of linear algebra, statistics and optimization techniques
• Profound knowledge of state of the art of computer vision and machine learning algorithms
• Experience in software development
• Experience with Tensorflow and or PyTorch
• Optionally: Experience with data pipelines and data engineering
• Very good command of written and spoken English or German

INTERESTED?

We are looking forward to receiving your application! If you have any questions, please feel free to contact your recruiting contact at any time.
We place great importance on equal opportunities. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, ideology, disability, age as well as sexual orientation and identity.
Reference number: 9965
Recruiting contact: Anne Altmann
Rohde & Schwarz is a global technology company with approximately 14,000 employees and three divisions: Test & Measurement, Technology Systems and Networks & Cybersecurity. For 90 years, the company has been developing cutting-edge technology, pushing the boundaries of what is technically possible and enabling customers from various sectors such as business, government and public authorities to maintain their technological sovereignty. Headquartered in Munich, Germany, the company has strong regional hubs in Singapore and Columbia, Maryland to coordinate business activities in Asia and the USA.

• Support the development of machine learning and computer vision algorithms
• Taking part in discussions with an experienced team of researchers and engineers
• Investing time in literature review including identifying relevance for product development