Student Assistant (m/f/d) – Machine Learning / Language Technology

Part-time (approx. 8–15 hours per week)

We are an innovative and internationally oriented company based in Aachen, working at the forefront of language technology. To support our dynamic team, we are looking for a motivated and reliable Student Assistant who is eager to gain practical experience alongside their studies.

Your tasks may include:

●        Assisting with experiments and evaluations in speaker diarization

●        Training and evaluating models for audio segmentation and speaker recognition

●        Implementing and refining speaker clustering algorithms

●        Documenting your findings

What we’re looking for:

●        You are studying computer science or a related field

●        You have experience with machine learning and a solid understanding of ML fundamentals

●        You are proficient in Python and familiar with libraries such as NumPy and PyTorch

●        You work independently, precisely, and responsibly

●        You are flexible, organized, and a quick learner

●        You have good communication skills in English (German is a plus)

What we offer:

●        Flexible working hours that fit your university schedule

●        A collaborative and supportive working environment

●        Insight into real-world language technology applications and the opportunity to grow professionally

●        Compensation: 15€/hour

Interested?
We look forward to receiving your application via email: hpesch@apptek.com