Principal Machine Learning Engineer

Vor 7 Tagen


Zürich, Zürich, Schweiz Daedalean AG Vollzeit $ 120'000 - $ 180'000 pro Jahr

Principal Machine Learning Engineer Daedalean AG days ago Role details Contract type Permanent contract Employment type Full-time (> 32 hours Working hours Regular working hours Languages English Job location Tech stack Artificial Intelligence Computer Vision C Computer Programming Python Machine Learning Rust Data Processing Safety Critical Systems Deep Learning Information Technology Job description 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 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)., * 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. RequirementsExcellent 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



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