Principal Machine Learning Engineer

Principal Machine Learning Engineer

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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:

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.