Machine Learning Engineer

Description

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.

Responsibilities

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

Qualifications

• 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.

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.