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Machine learning engineer • spreitenbach
Machine Learning Engineer
AMMGroupZürich, Zurich, Switzerland- Gesponsert
Retrofit Automation Engineer
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Hyand GroupZürich, Switzerland, CHMachine Learning Engineer
startupticker.chZürich- Gesponsert
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KPMG AGZürich, Zürich, Switzerland- Gesponsert
Team Lead Data Science & Machine Learning Platform
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EpamZurich, Switzerland- Gesponsert
Software Back-End Engineer : in
Nordwand GroupZürich, CHSenior Machine Learning Engineer - RWE - Europe
Luminary GroupZürich, ZH, CHSenior Machine Learning Engineer (Zürich)
VisiumZürich, Zurich, SwitzerlandScientific Assistant in Machine Learning for Healthcare
Biomedical Data Science Lab (BMDS)ZurichTeam Lead Data Science & Machine Learning Platform
CompetecMägenwil und Homeoffice, CH- Gesponsert
E-Learning Expert / in Learning Center
Fernfachhochschule SchweizZürich oder Brig, CHMachine Learning Engineer, SIML
AppleZurich- Gesponsert
Team Lead Data Science & Machine Learning Platform
BRACK.CHAargau, Mägenwil, SwitzerlandWillst Du mit Machine Learning durchstarten
Goldwyn Partners Group AGZürichSenior Machine Learning Engineer (Zürich)
Visium SAZürich, ZH, CHMachine Learning Engineer
AMMGroupZürich, Zurich, SwitzerlandRole : Machine Learning Engineer
Location : Zürich , Switzerland ( On-site )
Flight Software, Computer Vision and AI /
Mode of Hiring : Full-Time
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 :
Applying first certifiable Machine Learning models in the area of computer vision in an entirely new domain - aviation.
Your responsibilities will include the following :
o Ensure that our neural networks perform strongly in all conditions, by combining work on data, model design, and training.
o Ensure that this performance can be guaranteed, through careful design and verification activities, under our ML certification framework developed in collaboration with regulators.
o 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 :
o Master’s or PhD degree in computer science, physics, mathematics or a related technical field.
o Practical experience in deep learning for computer vision, ideally covering the whole stack from model architecture to the design and implementation of evaluation pipelines.
o Proven research skills in industrial and / or academic environments, including the ability to work on difficult problems over long periods of time.
o Excellent programming skills, including a system programming language such as C++ or Rust.
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 :
o A team of experienced engineers and researchers, who joined us from most recognized companies and institutions.
o Difficult and interesting problems to solve.
o Test flights in the Swiss Alps for you to join.
o Pilot license subsidy.
o Hybrid work setting.
o Learning & Development budget : visit conferences of your choice.
o Gym membership.