Job Description
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.
Join our Innovation Management Division in München (Germany) at the earliest possible date.
- 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
- 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
You can expect very good payment, excellent terms and outstanding opportunities for growth and development.View More