Autonomous Vision ML Engineer (Safety-Critical)

Destinus; Zürich; Vor Ort; CHF 120.000 - 170.000; Vollzeit

Zusammenfassung

Destinus is seeking a Machine Learning Engineer to advance computer vision for autonomous, safety-critical systems in real-world operations. You will design, train, and validate neural networks that operate under uncertainty and pilot complex aerospace applications in collaboration with flight and software teams.

The role focuses on end-to-end ML lifecycle management, model evaluation, and certification activities to ensure reliability, safety, and regulatory compliance for high-speed, unmanned

Qualifikationen

• Master's or PhD in computer science, physics, mathematics, or a related technical field.
• At least 5 years of hands-on experience in deep learning for computer vision.
• Experience across the 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.

Aufgaben

• Design, train, and optimize deep learning models for computer vision tasks in highly dynamic and safety-critical environments
• Own the full ML lifecycle, from data strategy and model architecture to deployment and performance monitoring
• Develop robust evaluation pipelines to ensure models meet strict reliability and safety requirements
• Work on ML certification activities, validating model behavior under defined regulatory frameworks
• Leverage transfer learning and simulation to scale training and testing beyond real-world data limitations
• Collaborate closely with software, systems, and flight teams to integrate ML models into real-world applications
• Continuously push model performance across edge cases, environmental variability, and operational constraints

Kenntnisse

C++

Rust

Deep learning

Computer vision

Ausbildung

Master's or PhD in CS/Physics/Math

Tools

Simulation environments

Jobbeschreibung

Destinus is seeking a Machine Learning Engineer to advance computer vision for autonomous, safety-critical systems in real-world operations. You will design, train, and validate neural networks that operate under uncertainty and pilot complex aerospace applications in collaboration with flight and software teams.

The role focuses on end-to-end ML lifecycle management, model evaluation, and certification activities to ensure reliability, safety, and regulatory compliance for high-speed, unmanned