Principal Machine Learning Engineer

Job title: Principal Machine Learning Engineer

Company: Daedalean


Job description: About us: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 \nYour 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.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.

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Expected salary:

Location: Zürich

Job date: Wed, 05 Feb 2025 08:49:50 GMT

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