About us:Daedalean is a Zürich-based startup founded by experienced engineers who want to completely revolutionize air travel within the next decade. We combine computer vision, deep learning, and robotics to develop full “level-5” autonomy for flying vehicles. Your role:Applying first certifiable Machine Learning models in the area of computer vision in an entirely new domain - aviation.
Your responsibilities will include the following:
Ensure that our neural networks perform strongly in all conditions, by combining work on data, model design, and training.
Ensure that this performance can be guaranteed, through careful design and verification activities, under our ML certification framework developed in collaboration with regulators.
Leverage transfer learning to massively increase the amount of training and evaluation data available, in particular through the use of simulation.
Preferred Qualifications and Experience:
Master’s or PhD degree in computer science, physics, mathematics or a related technical field.
Practical experience in deep learning for computer vision, ideally covering the whole stack from model architecture to the design and implementation of evaluation pipelines.
Proven research skills in industrial and/or academic environments, including the ability to work on difficult problems over long periods of time.
Excellent programming skills, including a system programming language such as C++ or Rust.
Experience in aerospace engineering or avionics is not required; we will teach you everything you need to know about the constraints of safety critical systems in airworthy applications.
Benefits:
A team of experienced engineers and researchers, who joined us from most recognized companies and institutions.
