Daedalean
Machine Learning Engineer(m/w/x)
Full-timeWith HomeofficeExperienced
Zürich
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DADaedalean
Principal Machine Learning Engineer(m/w/x)
Zürich
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Guiding ML engineering for Visual Traffic Detection systems at developer of level-5 autonomous flying vehicles, overseeing certification and infrastructure. Master's or PhD in CS/Physics/Math and practical deep learning for computer vision experience required. Focus on cutting-edge level-5 autonomous flying vehicle technology.
Requirements
- Excellent programming skills in C++ and/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
- Proven experience leading projects with tight deadlines
- Great communication skills
- Experience in aerospace engineering or avionics is not required
Tasks
- Guide the Machine Learning engineering team
- Contribute to the development of the Visual Traffic Detection system
- Verify application-level performance of the system
- Oversee the Machine Learning certification strategy
- Maintain and enhance data processing and ML training infrastructure
- Manage a large codebase using Rust, Python, and C++
- Tackle urgent, complex, or tedious tasks as needed
- Optimize the use of limited resources
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
Principal Machine Learning Engineer(m/w/x)
Zürich
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Guiding ML engineering for Visual Traffic Detection systems at developer of level-5 autonomous flying vehicles, overseeing certification and infrastructure. Master's or PhD in CS/Physics/Math and practical deep learning for computer vision experience required. Focus on cutting-edge level-5 autonomous flying vehicle technology.
Requirements
- Excellent programming skills in C++ and/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
- Proven experience leading projects with tight deadlines
- Great communication skills
- Experience in aerospace engineering or avionics is not required
Tasks
- Guide the Machine Learning engineering team
- Contribute to the development of the Visual Traffic Detection system
- Verify application-level performance of the system
- Oversee the Machine Learning certification strategy
- Maintain and enhance data processing and ML training infrastructure
- Manage a large codebase using Rust, Python, and C++
- Tackle urgent, complex, or tedious tasks as needed
- Optimize the use of limited resources
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.
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