Machine Learning Engineer
Zürich
Flight Software, Computer Vision and AI /
Full-Time /
On-site
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.
- Difficult and interesting problems to solve.
- Test flights in the Swiss Alps for you to join.
- Pilot license subsidy.
- Hybrid work setting.
- Learning & Development budget: visit conferences of your choice.
- Gym membership.
