About Us
Daedalean is a Zürich-based startup founded by experienced engineers who aspire to revolutionize air travel over the next decade. We leverage cutting-edge technologies such as computer vision, deep learning, and robotics to develop fully autonomous flying vehicles at “level 5.”
Your Role
Join us in applying certifiable Machine Learning models in the field of computer vision within the exciting domain of aviation.
Your Responsibilities
- Ensure robust performance of our neural networks under all conditions by integrating efforts in data handling, model design, and training.
- Maintain performance guarantees through meticulous design and verification within our ML certification framework, developed in collaboration with regulatory bodies.
- Utilize transfer learning to significantly enhance the volume of training and evaluation data available, particularly through simulation methods.
Preferred Qualifications and Experience
- Strong 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 encompassing the entire stack from model architecture to design and implementation of evaluation pipelines.
- Demonstrated research skills in industrial and/or academic settings, with the ability to tackle complex problems over extended periods.
No prior experience in aerospace engineering or avionics is necessary; we will provide comprehensive training on the constraints of safety-critical systems in airworthy applications.
Benefits
- Collaborate with a team of seasoned engineers and researchers from renowned companies and institutions.
- Engage in challenging and stimulating problems that push the boundaries of technology.
- Participate in test flights in the picturesque Swiss Alps.
- Receive a subsidy for obtaining a pilot's license.
- Enjoy a hybrid work environment that promotes flexibility.
- Access a Learning & Development budget to attend conferences of your choice.
- Benefit from a gym membership to support your well-being.
Apply online using the form below. Please note that only applications matching the job profile will be considered.