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Designing, training, and optimizing deep learning models for autonomous flight technologies. 5+ years of computer vision deep learning experience required. Full ML lifecycle management, including certification activities.
Requirements
- Strong programming skills in C++ or Rust
- Master’s or PhD in computer science, physics, mathematics, or related technical field
- At least 5 years of hands-on experience in deep learning for computer vision
- Experience across full ML stack, including model design, training pipelines, and evaluation systems
- Solid understanding of data-centric AI approaches, including dataset curation and augmentation strategies
- Experience with simulation environments or synthetic data generation is a strong plus
- Proven ability to tackle complex research problems over extended periods, in academic and industrial settings
- Thrives in environments with hard, ambiguous, and worthwhile problems
- Engineering systems that must work every time
- Long-term thinking and validation of all aspects
- Ownership of real-world performance
- Pushing for reliable, scalable, and certifiable systems
Tasks
- Design, train, and optimize deep learning models
- Manage the full ML lifecycle
- Develop robust evaluation pipelines
- Work on ML certification activities
- Leverage transfer learning and simulation
- Collaborate with software, systems, and flight teams
- Push model performance in edge cases and constraints
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- C++
- Rust
- deep learning
- computer vision
- ML stack
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Designing, training, and optimizing deep learning models for autonomous flight technologies. 5+ years of computer vision deep learning experience required. Full ML lifecycle management, including certification activities.
Requirements
- Strong programming skills in C++ or Rust
- Master’s or PhD in computer science, physics, mathematics, or related technical field
- At least 5 years of hands-on experience in deep learning for computer vision
- Experience across full ML stack, including model design, training pipelines, and evaluation systems
- Solid understanding of data-centric AI approaches, including dataset curation and augmentation strategies
- Experience with simulation environments or synthetic data generation is a strong plus
- Proven ability to tackle complex research problems over extended periods, in academic and industrial settings
- Thrives in environments with hard, ambiguous, and worthwhile problems
- Engineering systems that must work every time
- Long-term thinking and validation of all aspects
- Ownership of real-world performance
- Pushing for reliable, scalable, and certifiable systems
Tasks
- Design, train, and optimize deep learning models
- Manage the full ML lifecycle
- Develop robust evaluation pipelines
- Work on ML certification activities
- Leverage transfer learning and simulation
- Collaborate with software, systems, and flight teams
- Push model performance in edge cases and constraints
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- C++
- Rust
- deep learning
- computer vision
- ML stack
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Destinus
Industry
Aerospace
Description
Destinus revolutionizes the defense industry with cutting-edge UAVs, providing advanced solutions for mission-critical operations.
Not a perfect match?
- Destinus
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Full-timeOn-siteSeniorZürich