Job description
Deducing meaning from camera streams via computer vision tools
Developing workflows for collection of training data and data augmentation
Training and fine-tuning neural networks for object detection and classification
Who are we looking for
Fluent Python and its key scientific libraries (Numpy/Scipy/Matplotlib/Pandas)
Proven ability to train neural networks, experience with transfer learning, fluency in one of the key deep learning libraries (preferably Keras)
Software development in Linux, fluency in Bash and associated tools (sed/grep/awk etc)
Practical knowledge of OpenCV
Ability to read scientific papers in computer vision and extract and implement ideas from these
Mentor younger members of the team
Why should you choose us
Build a scalable product to disrupt manufacturing, a massive (5tn) but publicly invisible industry
Work on the future of Europe. Preserve/build welfare in your own country or region that is heavily dependent on manufacturing
Work on something tangible. We install our devices in factories and monitor actual machines
No-bullshit culture and understanding of need for deep thinking necessary to solve hard problems (founders with scientific/engineering background, PhDs and publications in top scientific journals)
Become a number <10 team member of an early-stage startup
Stock options
Language proficiency
- - English - C1 - advanced
Details
- Young professional (work experience up to 3 years from college graduation)
- Professional