4 days ago
Zürich, SwitzerlandSenior
Responsibilities
- Design, train, and optimize deep learning models for computer vision in dynamic, safety-critical environments.
- Manage ML capabilities from data collection through mature operational deployment.
- Develop evaluation pipelines that meet strict reliability and safety requirements.
- Use transfer learning and simulation to scale model training and testing beyond real-world data.
- Collaborate with software, systems, and flight teams to integrate ML models into real-world applications.
- Improve model performance across edge cases, environmental variability, and operational constraints.
Requirements
- Strong programming skills in C++ or Rust.
- At least 5 years of hands-on experience in deep learning for computer vision.
- Experience with the full ML stack, including model design, distributed training frameworks, evaluation pipelines, and resource-constrained inference platforms.
- Experience with simulation environments or synthetic data generation is preferred.
- Experience working with integrated sensors, including infrared cameras.
- Master’s degree or PhD in computer science, physics, mathematics, or a related technical field, or equivalent proven practical experience.
Benefits
- Full-time, on-site position in Zürich, Switzerland.
- Opportunity to work on safety-critical AI, autonomous flight, aerospace, and defense systems.
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About Destinus
Destinus is a privately held European defense manufacturer that designs and builds cruise missiles, guided rockets, ballistic systems, interceptors, and anti-drone capabilities for government and defense customers. The company vertically integrates propulsion, warheads, autonomy software, and critical manufacturing to produce strike and air-defense systems. Founded in 2021 and headquartered in Valkenburg, South Holland, it focuses on European supply chains and customers.