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Senior Team Lead - Machine Learning at Snke OS GmbH (Munich, Germany)

Job Description

For our ambitious and growing Data Intelligence division, we are looking for a Senior Team Lead to drive our Algorithm Development in the area of medical image and video processing. By exploiting large amounts of data and state-of-the-art methods (in particular deep learning), you and your team will take the automated analysis of medical data to the next level.

As an Algorithm Team Lead you will

  • take the technical and personnel responsibility for a team of machine learning engineers and software developers working on image processing solutions
  • coordinate and prioritize the development activities of your team, as initial research prototypes evolve to robust product features
  • actively participate in the development activities, using state-of-the-art methods in algorithm and software engineering
  • take technical and strategic decisions that let your team push the boundaries of what is possible
  • communicate with stakeholders of your solutions, proactively identifying potentials for new features and application areas and thus ultimately making the difference in this innovative field

Qualifications

  • Education in mathematics, physics, computer science or similar background
  • Profound demonstrated experience in the development of complex algorithms in the area of image and/or video processing, and a solid background in software engineering and (object oriented) programming
  • Ideally, you have completed a PhD in a relevant area and gained further experience during a range of projects in an industrial setting
  • Experience in supervising and leading a team of developers in a high-tech industrial environment, providing them guidance in strategic, technical, and personnel matters
  • Willingness to actively contribute to the development activities and keep up with the state-of-the-art of algorithms and software tools in your area
  • Strong communication skills and passion for interacting with stakeholders, team members, and external partners
  • Fluency in English and ideally German (or willingness to learn German)

Additional Information

  • 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 at 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: Veronika Scharfenberg

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