Principal Machine Learning Engineer
Veröffentlicht:
03 Februar 2025Pensum:
100%Vertragsart:
Festanstellung- Arbeitsort:Zürich
Job-Zusammenfassung
Daedalean ist ein innovatives Startup in Zürich, das die Luftfahrt revolutioniert. Werde Teil eines Teams, das spannende Probleme löst und tolle Vorteile bietet.
Aufgaben
- Leite die Entwicklung und Verifizierung unseres Visual Traffic Detection Systems.
- Manage ein Team von 15 Machine Learning Engineers und Forschern.
- Wachse und pflege unsere ML-Infrastruktur und Datenverarbeitung.
Fähigkeiten
- Master oder PhD in Informatik, Physik oder Mathematik und exzellente Programmierkenntnisse.
- Praktische Erfahrung mit Deep Learning und Computer Vision.
- Erfahrung in der Leitung von Projekten mit engen Fristen.
Ist das hilfreich?
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 guide the Machine Learning engineering team and help build the first certified AI avionics.
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- Lead the application-level development and verification of our flagship Visual Traffic Detection system.
- Manage a team of 15 machine learning engineers, researchers, and software engineers.
- 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).
- 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, 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.
- A team of experienced engineers and researchers, who joined us from most recognized companies and institutions.
- Difficult and interesting problems to solve.
- Pilot license subsidy.
- Hybrid work setting.
- Learning & Development budget: visit conferences of your choice.
- Gym membership.
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