Daedalean

Principal Machine Learning Engineer

Zürich
Python C++ Rust Deep Learning Computer Vision Machine Learning
Description

Principal Machine Learning Engineer

Team: Flight Software, Computer Vision and AI (HQ)

Location: Zürich

Commitment: Full-Time

Workplace Type: hybrid

About us:
Daedalean AG is the artificial intelligence (AI) and autonomy hub of Destinus Group, a rapidly growing European defense and aerospace company developing the next generation of autonomous drones, effectors, and flight systems. Based in Zurich, the 100+ team develops safety-critical AI for aviation at the intersection of world-class research and real hardware. Its expertise spans computer vision, deep learning, and onboard reasoning – systems that can perceive the world, understand it, and make decisions in real time.

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

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.
Daedalean
Daedalean

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