Workingstudent (M/F/d) Machine Learning and

Vor 6 Tagen


München, Deutschland ROHDE & SCHWARZ GmbH & Co. KG Vollzeit

**Your tasks**:

- 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

**Application tips**:

- Application
- Interview
- Contact persons

**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

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.

**Our offer**:
Opportunities to work from homeFlexible working hour modelsAttractive compensationTraining & continuing educationParking spacesOccupational pension schemePrivately owned companyHealth care30 days of vacationCompany doctorFamily servicesPromoting innovationMarriage and birth benefitLong-term & attractive work environmentSpecial payments

Show more

City/region

Munich (Germany)

Entry level

Working students

Employment Type

Full-time / Part-time possible, limited

Ref. Number

9965



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