Description

Über das Unternehmen Cinemo is a highly innovative one-stop-shop provider for fully integrated digital media products. They are ready for every screen, combining high performance, high quality, low footprint, and cutting-edge technologies in a truly system-agnostic design. Whether embedded, as mobile apps or through the cloud, Cinemo offers digital media products any industry.

As a Working Student – Machine Learning (Video) you will support the Senior AI/ML Engineers in the design and evaluation of Computer Vision machine learning models.

  • Support our Senior AI/ML Engineers in the design, training and evaluation of Computer Vision and Video ML models and underlying software architecture
  • Collect, analyze, prepare and structure datasets for training, validation and testing state-of-the-art Computer Vision ML models and technologies to be used in the next-generation automotive infotainment middleware
  • Process image/video data, applying techniques for pre-processing, normalization and data augmentation to improve model robustness

  • Active study program as Bachelor or Master student in the field of Computer Science, Data Science or equivalent
  • First hands-on experience with Computer Vision (e.g. face detection, object detection, image classification, scene segmentation or action recognition)
  • od kledge in Machine Learning, Deep Learning and Transformer
  • Practical experience in training, fine-tuning, validation and evaluation of ML models
  • Proficiency in Python, C/C++, OpenCV, PyTorch, TensorFlow, Keras

Unser Jobangebot Working Student Machine Learning (m/f/d)klingt vielversprechend?Bei unserem Partner Workwise ist eine Bewerbung für diesen Job in nur wenigen Minuten und ohne Anschreiben möglich. Anschließend kann der Status der Bewerbung live verfolgt werden. Wir freuen wir uns auf eine Bewerbung über Workwise .

  • Office spaces in the heart of the city center
  • A friendly, diverse, international, dynamic, challenging and open-minded work environment
  • Flexible working hours
  • The opportunity to shape the future of infotainment
  • Talent management initiatives
  • Great social events throughout the year
  • Working partly remote is possible