Principal Machine Learning Engineer

Daedalean, startup zurichoise, révolutionne le voyage aérien.

Tâches

• Guider l'équipe d'ingénierie en apprentissage automatique.

• Contribuer au développement de notre système de détection visuelle.

• Maintenir notre infrastructure de traitement de données et ML.

Compétences

• Diplôme en informatique, physique ou mathématiques requis.

• Excellentes compétences en programmation C++ et/ou Rust.

• Compétences en communication et gestion de projets.

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:

To technically guide the Machine Learning engineering team and help build the first certified AI avionics.

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Your tasks: • Actively contribute to the application-level development and verification of our flagship Visual Traffic Detection system.

• Oversee our Machine Learning certification strategy.

• Maintain and grow our data processing and ML training infrastructure.

• Oversee a large codebase with Rust, Python and C++.

• Being willing to pick any task that is too urgent, complex and/or boring for someone else to take care of.

• Being able to make the most of relatively limited resources (headcount, infrastructure).

Qualifications and Experience: • Excellent programming skills in C++ and/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 in the industry setting, 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.

• Proven experience leading projects with tight deadlines.

• Great communication skills.

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.

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