Machine Learning Engineer

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.
• 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.