Machine Learning/Deep Learning Engineer (m/w/d) R&D

Location: Siegen 

Referenz No.: 2020-1208

... are the experts and pioneers in the field of depth-sensing Time-of-Flight technology. You will work with the most talented experts from the industry in specialized teams and help to further innovate and develop the technology. Your ideas and your work will have a direct impact on the next flagship smartphones, cars, and robots that inspire people all around the world.

Your tasks

  • By means of deep learning approaches, you will support the further system and algorithm development for our 3D cameras in the Research & Development division
  • You will work with Python, C / C ++, OpenCV and frameworks such as TensorFlow
  • You are going to develop procedures for generating and acquiring suitable training data
  • You will develop network architectures and algorithms for processing raw data into 3D point clouds
  • On the basis of existing metrics and those to be developed, you will evaluate development results and prepare the conclusions in an understandable manner
  • To do this, you will bring your specialist knowledge and your own creative ideas constructively into a team of interdisciplinary experts
  • You generate innovations that form the basis of future generations of cameras


Your profile:

  • You have studied computer science, physics, mathematics or equivalent
  • You have at least 5 years of professional experience or a PhD
  • You have a sound knowledge of Python and TensorFlow
  • Experience with C / C ++ and OpenCV is a plus
  • You have experience in creating technical documentation in English
  • You have in-depth knowledge of deep learning and computer vision
  • Experience with version management systems and continuous integration desirable


Your advantages:

  • Innovative and exciting environment
  • Working with up-to-date tools, e.g. JIRA, Confluence, Bitbucket
  • Wide range of tasks and varied activities
  • Attractive basic salary with variable remuneration components
  • Company pension scheme
  • Regular, individual advanced training
  • Flexible working hours
  • Company health management and various fitness and sports activities
  • Modern and varied company restaurant


We look forward to meeting you! Please apply online via:

Application Area