Machine Learning Engineer 100%

About Us

Daedalean is a Zürich-based startup founded by experienced engineers aiming to revolutionize air travel within the next decade. We integrate computer vision, deep learning, and robotics to achieve full “level-5” autonomy for flying vehicles.

Your Role

As part of our innovative team, you will apply first certifiable Machine Learning models in the field of computer vision, venturing into an entirely new domain—aviation.

Your Responsibilities

• Ensure robust performance of neural networks across various conditions by combining efforts on data, model design, and training.
• Guarantee this performance through meticulous design and verification activities, in alignment with our ML certification framework developed in collaboration with regulators.
• Utilize transfer learning to significantly enhance the volume of training and evaluation data, particularly through simulation techniques.

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 with proficiency across the entire stack from model architecture to the design and implementation of evaluation pipelines.
• Demonstrated research skills within both industrial and academic settings, including the capacity to tackle challenging problems over extended periods.

No previous experience in aerospace engineering or avionics is required; comprehensive training on the constraints of safety-critical systems in airworthy applications will be provided.

Benefits

• Collaborate with a team of experienced engineers and researchers from recognized companies and institutions.
• Engage in challenging and thought-provoking problems to solve.
• Opportunity to participate in test flights in the breathtaking Swiss Alps.
• Work within a hybrid setting that fosters flexibility.
• Access a Learning & Development budget for attending conferences of your choice.
• Enjoy a gym membership to promote a healthy lifestyle.