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Senior Data Scientist

vor 2 Monaten

Deutschland Teraki Vollzeit

Job Summary

Teraki is a technology-driven company that enables AI to be fully scalable to novel automotive applications. We are committed to innovation in the rapidly developing connected car, self-driving, and 3D mapping world.

About the Role

We are seeking a highly skilled Machine Learning expert with a strong background in Computer Vision and algorithm development to join our research team. As a Data Scientist / Researcher, you will have a direct impact on shaping Teraki's stack for train applications. Your responsibilities will include:

  • Developing pipelines related to advanced neuromorphic vision systems
  • Developing filters related to event-based cameras for noise reduction
  • Fusing and correcting data for self-motion and vibration effects
  • Developing algorithms for processing of event-based cameras

Requirements

  • Master's degree or PhD in mathematics, computer science, physics, engineering, or a similar field
  • Demonstrated professional experience in machine learning-driven applications
  • Strong Python programming skills and solid knowledge of C++
  • Deep understanding of mathematics, particularly linear algebra
  • Experience in image processing and deep learning is a huge plus
  • Experience with event-based cameras is a huge plus
  • Experience with spiking neural networks is a huge plus
  • Fluency in English (written and spoken) is necessary

What We Offer

  • A unique opportunity to actively contribute to the IoT revolution and the emergence of novel data-driven automotive platforms
  • To increase your technical know-how in current very hot topics in autonomous driving development: algorithmic methods in Machine Learning, Embedded Design
  • To work on cutting-edge research with immediate industrial applications
  • To work closely with top-class European, US, and Asian companies in Automotive and leading the pace in autonomous driving and novel connected car applications
  • To work in a vibrant startup environment and share insights within an international team positioned in the EU