To help us achieve our goal of delivering our PUF technology to market, we are now seeking a Computer Vision Developer. This person will be responsible for developing experimental deep learning models for PUF pattern recognition and, in collaboration with the Chief Architect, building a robust machine learning pipeline.
This is a full-time position based in Copenhagen, Denmark.
If you’re interested in a challenge that crosses the boundaries between the physical and virtual, and if you’re keen on doing it in one of the coolest cities in the world - Copenhagen - then we’d love to hear from you!
Deploying deep learning models for registration and validation of PUF patterns.
Collaborating with materials science team to ensure PUF materials and image capture methods maximise feature extraction capability.
Managing relationships with ML consulting partners.
Developing and improving deep learning pipelines for computer vision tasks.
Researching and implementing new approaches to improve neural networks.
Providing expert input for business development activities.
Minimum 2 years of solving deep learning & computer vision problems, preferably in a commercial setting.
Solid understanding of convolutional neural networks development principles for computer vision tasks.
Proficient knowledge and hands-on experience with deep learning frameworks (PyTorch, Tensorflow, Keras) and OpenCV.
Strong mathematical background.
Proficiency with at least Python language.
Familiarity with version control tools such as Git, CVS, SVN, etc.
Willingness & ability to lead both people and programs.
A sense of humour is a must. A tolerance for 1980s heavy metal would help.
This job comes with several perks and benefits
Your local office is your anchor point, thus, we placed it centrally at your convenience.
Are you a true Tech Savvy? Macbook, trackpad, you name it, we get you covered.
Easy access and treehugger friendly workplace.