EXCITING INSIGHTS INTO ROHDE & SCHWARZ

Our colleagues provide insider information about:

• Daily adventures and challenges
• Our passionate team
• The technologies behind the innovative projects and solutions

YOUR QUALIFICATIONS

• Enrolled student in computer science, electrical engineering, natural sciences or similar
• Programming: Good knowledge in Python
• Operating System: Familiarity with Linux environments
• Containerization: Basic understanding of Docker for service deployment
• Version Control: Experience with Git for collaborative development
• Statistical Knowledge: Basic understanding of statistical concepts relevant to machine learning and NLP
• openai: Knowledge of OpenAI’s API for interacting with LLMs
• Sentence Transformers: Understanding of sentence embeddings for semantic search
• Familiar with using Pandas for data manipulation and analysis
• Communication: Ability to effectively communicate technical ideas and progress
• Teamwork: Willingness to collaborate in a dynamic, interdisciplinary team environment
• Learning Agility: Eagerness to learn and adapt to new technologies and methodologies

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: 10936
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.

• We are seeking a highly motivated Working Student to join our dynamic team, contributing to the development of cutting-edge software applications that integrate Retrieval Augmented Generation with Large Language Models (LLMs). As a key team member, you will provide crucial support across various software engineering and machine learning tasks, ensuring the successful delivery of our NLP-centric projects. Key Responsibilities:
• NLP Pipelines: Development and Testing - Collaborate on the development of sophisticated NLP pipelines, integrating various libraries and tools for optimal text processing and generation. Support across the entire pipeline, starting with data curation, following method implementation and benchmarking.
• Agentic Systems Development: Assist in designing and building autonomous systems that interact with our LLM and Retrieval Augmented Generation frameworks.
• Benchmarking Support: Contribute to the setup and execution of benchmarks to evaluate the performance of our NLP models and pipelines.