Deep Learning Applied Researcher

Brodmann17 is a VC backed startup, developing game changing Deep Learning algorithms that can extract more AI out of any device. Our pioneering technology can achieve the best performance and accuracy, making it an ideal solution to the most demanding challenges of the automotive and IoT environments. If you want to work in one of the most interesting AI companies led by top technologists and researchers in this field - join us!

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About the Job:

We are seeking a sharp algorithm developer with a solid understanding in Deep Learning and Computer Vision that will help shape the future of computer vision solutions.

Main responsibilities:

  • Extend, optimize and invent new algorithms as part of Brodmann17 core technology
  • Investigate, identify, and implement research ideas published in lead scientific proceedings
  • Provide input for future planning based on area of expertise and target devices
  • Required:

  • Deep learning for Computer Vision in depth knowledge
  • Familiarity with toolkits for deep learning such as TensorFlow/PyTorch/Caffe
  • More than 3 years of experience required as a Applied Machine-Learning / Algorithms Engineer / Computer Vision Engineer
  • MSc (with thesis) in Computer Science or equivalent is a MUST. A Ph.D. degree is an advantage
  • Excellent C++, Python and shell programming skills
  • A team player with good communication skills, both written and verbal
  • Ability to work as a strong contributing member of a small R&D team
  • Gets things done attitude
  • Big Advantage:

  • Proficient with design optimization techniques, data processing, and scientific computing algorithms
  • In depth familiarity with deep-learning algorithms for object detection, segmentation , tracking etc
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