Careers
Machine Learning Engineer (m/f/d) in the corporate sector of Field Application Engineering

Location: Siegen
Reference Number: 2020-1455

Your tasks:

  • With your work you will support the system- and algorithm-based development of our 3D cameras on the basis of Deep Learning processes as well as their implementation in our customers' products, e.g. smartphones
  • You will work with Python, OpenCV and frameworks such as Tensorflow, among others
  • You will develop algorithms for new technologies, primarily in the field of Deep Learning, and you will be responsible for generating and processing training data
  • On the basis of metrics that already exist or are to be developed you will evaluate development results and edit them in a comprehensible way
  • Against this background you will constructively contribute your expertise and your own creative ideas to a team of interdisciplinary experts
  • You will generate the innovations that are going to form the basis of future camera generations

 

Your profile:

  • Technical degree in information technology, engineering, physics or mathematics
  • At least 5 years of professional experience or a doctorate
  • Proficient knowledge of Python and at least one machine learning framework (e.g. Tensorflow or Pytorch)
  • You have knowledge of Artificial Intelligence and Computer Vision and already successfully applied these techniques in real products
  • Experience with working on cameras or in the field of image processing
  • Good command of written and spoken English
  • Experience with version management systems and Continuous Integration is desirable
  • Customer focus and willingness to travel internationally

 

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