Machine Learning Engineer

Daedalean, une startup à Zürich, révolutionne le transport aérien. Rejoignez-nous pour une expérience de travail innovante et collaborative.

Tâches

• Appliquer des modèles d'apprentissage automatique certifiables en aviation.

• Assurer la performance des réseaux neuronaux dans diverses conditions.

• Utiliser l'apprentissage par transfert pour optimiser les données d'entraînement.

Compétences

• Diplôme en informatique, physique ou mathématiques et compétences en programmation C++ ou Rust.

• Expérience en apprentissage profond pour la vision par ordinateur.

• Compétences en recherche dans des environnements industriels.

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.
\n

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: • 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 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.

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.
• Hybrid work setting.
• Learning & Development budget: visit conferences of your choice.
• Gym membership.

\n