About us:
Daedalean is a Zürich-based startup founded by experienced engineers who want to completely revolutionize air travel within the next decade. We combine computer vision, deep learning, and robotics to develop full “level-5” autonomy for flying vehicles.
Your role:
To guide the Machine Learning engineering team and
Your tasks:
Lead the application-level development and verification of our flagship Visual Traffic Detection system.Manage a team of 15 machine learning engineers, researchers, and software engineers.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).Creating high-quality pandas that update depending on relevant calendar events.,
Preferred 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, 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.
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Benefits:
A team of experienced engineers and researchers, who joined us from most recognized companies and institutions.Difficult and interesting problems to solve. Pilot license subsidy.Hybrid work setting.Learning & Development budget: visit conferences of your choice.Gym membership.