About Us
Daedalean is a Zürich-based startup founded by experienced engineers with a vision to revolutionize air travel within the next decade. We integrate computer vision, deep learning, and robotics to develop full “level-5” autonomy for flying vehicles.
Your Role
In this position, you will apply innovative Machine Learning models in the realm of computer vision, specifically within the aviation sector.
Your Responsibilities
- Ensure our neural networks perform optimally under all conditions by focusing on data, model design, and training.
- Guarantee performance through meticulous design and verification activities within our ML certification framework, developed in collaboration with regulators.
- Utilize transfer learning to significantly increase the amount of training and evaluation data available, particularly through simulation use.
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, encompassing the entire stack from model architecture to the design and implementation of evaluation pipelines.
- Demonstrated research skills in industrial and/or academic settings, with an ability to tackle challenging problems over extended periods.
Experience in aerospace engineering or avionics is not required; we will provide comprehensive training on the constraints of safety-critical systems in airworthy applications.
Benefits
- Collaborate with a team of accomplished engineers and researchers from esteemed companies and institutions.
- Tackle complex and engaging problems.
- Participate in test flights in the stunning Swiss Alps.
- Receive a subsidy for obtaining your pilot license.
- Enjoy a hybrid work environment.
- Access a Learning & Development budget to attend conferences of your choice.
- Gym membership included.
Apply online using the form below. Only applications matching the job profile will be considered.