About Us
Daedalean is a Zürich-based startup founded by experienced engineers dedicated to completely revolutionizing 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
In this position, you will apply certifiable Machine Learning models in the area of computer vision within an entirely new domain: aviation.
Your Responsibilities
- Ensure our neural networks perform strongly in all conditions by combining work on data, model design, and training.
- Guarantee performance 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, particularly through the use of simulation.
Preferred Qualifications and Experience
- Excellent programming skills in C++ or Rust.
- 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 entire 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 tackle challenging problems over extended periods.
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 have joined us from some of the most recognized companies and institutions.
- Challenging and interesting problems to solve.
- Opportunities for test flights in the Swiss Alps.
- Pilot license subsidy.
- Hybrid work setting.
- Learning & Development budget: attend conferences of your choice.
- Gym membership.
Apply online using the form below. Only applications matching the job profile will be considered.