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Daedalean

Machine Learning Engineer

Zürich · Posted 18 months ago
Tech Stack
Machine LearningC++Rust
Language Requirements
English
Requirements
Senior Seniority
5+ years Experience
Yes Degree

Master’s or PhD degree in computer science, physics, mathematics or a related technical field.

Remote Policy

Hybrid

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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:
Applying first certifiable Machine Learning models in the area of computer vision in an entirely new domain - aviation.

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.
  • At least 5 years of 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.