Daedalean
Principal Machine Learning Engineer(m/w/x)
Full-timeWith HomeofficeExperienced
Zürich
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DADaedalean
Machine Learning Engineer(m/w/x)
Zürich
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Applying certifiable ML models in computer vision for autonomous flying vehicles. Master's or PhD in technical field and practical deep learning for computer vision experience required. Focus on safety-critical systems for airworthy applications.
Requirements
- Excellent programming skills in C++ or Rust
- Master’s or PhD degree in computer science, physics, mathematics, or related technical field
- Practical experience in deep learning for computer vision
- Proven research skills in industrial and/or academic environments
- Willingness to learn about safety critical systems in airworthy applications
Tasks
- Apply certifiable Machine Learning models in computer vision
- Ensure strong performance of neural networks in all conditions
- Combine data work, model design, and training for optimal results
- Conduct careful design and verification activities under ML certification framework
- Leverage transfer learning to enhance training and evaluation data
- Utilize simulation to increase available data significantly
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Benefits
Learning & Development
- Learning & Development budget
Healthcare & Fitness
- Gym membership
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Daedalean and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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DADaedalean
Machine Learning Engineer(m/w/x)
Zürich
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Applying certifiable ML models in computer vision for autonomous flying vehicles. Master's or PhD in technical field and practical deep learning for computer vision experience required. Focus on safety-critical systems for airworthy applications.
Requirements
- Excellent programming skills in C++ or Rust
- Master’s or PhD degree in computer science, physics, mathematics, or related technical field
- Practical experience in deep learning for computer vision
- Proven research skills in industrial and/or academic environments
- Willingness to learn about safety critical systems in airworthy applications
Tasks
- Apply certifiable Machine Learning models in computer vision
- Ensure strong performance of neural networks in all conditions
- Combine data work, model design, and training for optimal results
- Conduct careful design and verification activities under ML certification framework
- Leverage transfer learning to enhance training and evaluation data
- Utilize simulation to increase available data significantly
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Benefits
Learning & Development
- Learning & Development budget
Healthcare & Fitness
- Gym membership
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Daedalean and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Daedalean
Industry
Aerospace
Description
The company combines computer vision, deep learning, and robotics to develop full 'level-5' autonomy for flying vehicles.
Not a perfect match?
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