Machine Learning Engineer

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WHAT TO EXPECT

We are looking for an Algorithm Developer with a strong background in state-of-the-art machine learning / deep learning methods to join our ambitious and growing Data Intelligence Department.

In this position, you will

  • work on learning-based solutions for a variety of tasks in medical data analysis with a particular focus on the processing of medical images and videos (e.g. image segmentation, object detection and more)
  • exploit the ever-increasing amount of medical data in order to push the limits of intelligent software components for medical procedure support
  • contribute to all parts of the development cycle, from data selection and initial prototyping up to the final release of your ideas as part of a complex software product
  • ultimately have impact on the daily work of medical professionals around the world

 

WHAT YOU OFFER

  • Education in mathematics, physics, computer science or similar background
  • Solid experience in using modern machine learning methods along with classic computer vision approaches to solve challenging problems in the area of image processing
  • Ideally, you have worked on a PhD in a relevant area or gained this experience during your first projects in an industrial setting
  • Strong mathematical background and interest, allowing you to understand modern machine learning methods in all their details and making you eager to adapt and further develop these methods in your daily work
  • Good confidence in using the Python ecosystem for efficient prototyping of your ideas
  • Interest and first experience in software engineering and object-oriented programming (ideally in C++), allowing you to integrate your algorithms within a complex software framework
  • Eagerness to be part of a highly skilled, dynamic team where your talent is both challenged and supported
  • Fluency in English and ideally German (or willingness to learn German)

 

WHAT WE OFFER

  • Centrally located, modern work spaces
  • 30 days of vacation, plus 24.12. and 31.12.
  • Flexible working hours
  • Free gym courses with showers and changing rooms
  • Secure bicycle storage room
  • Unlimited coffee, tea and bottled water
  • Restaurant, coffee shop on-site
  • Regular after-work, team & company events
  • Sheltered terrace on the Bavarian Towers
  • International team of supportive colleagues
  • Comprehensive training and continuing education opportunities

 

Interested? Then we are looking forward to receiving your online application!

Contact person: Géraldine Endres

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