Machine Learning Engineer

Machine Learning Engineer

Destinus

Zurich, Switzerland

As a Machine Learning Engineer, you will push the limits of computer vision by designing, training, and validating neural networks that operate in complex, safety-critical environments. Your work will directly influence how autonomous systems perceive and interact with the world, combining deep learning, simulation, and rigorous verification into one seamless pipeline.

What You´ll Do

• 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

Requirements

What You’ll Need

• Strong programming skills in C++ or Rust
• 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
• Proven ability to tackle complex research problems over extended periods, in both academic and industrial settings