About the Role
<p>Imagine building intelligent systems that don’t just work in perfect lab conditions, but </p><p>perform reliably in the real world, where uncertainty is the norm and failure is not an </p><p>option. As a Machine Learning Engineer, you will push the limits of computer vision by </p><p>designing, training, and validating neural networks that operate in complex, safety-critical </p><p>environments. Your work will directly influence how autonomous systems perceive and </p><p>interact with the world, combining deep learning, simulation, and rigorous verification into </p><p>one seamless pipeline.</p><p>At Destinus, we are shaping the future of defense through high-speed, autonomous flight </p><p>technologies. We develop next-generation unmanned aerial systems that deliver greater </p><p>speed, precision, and efficiency, supporting governments and defense organizations in </p><p>mission-critical operations worldwide. Daedalean AG, the AI and autonomy hub of the </p><p>Destinus Group, plays a key role in this vision. Developing safety-critical AI systems at the </p><p>intersection of advanced research and real-world aviation. Enabling machines to perceive, </p><p>understand, and make decisions in real time. Together, we combine aerospace </p><p>engineering and artificial intelligence to build the next generation of autonomous flight </p><p>systems, driving innovation where it matters most.</p><p></p><p><strong>What You´ll Do</strong></p><p>• Design, train, and optimize deep learning models for computer vision tasks in highly </p><p>dynamic and safety-critical environments </p><p>• Manage the development lifecycle of ML capabilities, from early-stage data </p><p>collection to the operational deployments of mature systems</p><p>• Develop robust evaluation pipelines to ensure models meet strict reliability and </p><p>safety requirements </p><p>• Leverage transfer learning and simulation to scale training and testing beyond realworld data limitations </p><p>• Collaborate closely with software, systems, and flight teams to integrate ML models </p><p>into real-world applications</p><p>• Continuously push model performance across edge cases, environmental </p><p>variability, and operational constraints</p><p></p><p><strong>Requirements</strong></p><p>Strong programming skills in C++ or Rust</p><p>• At least 5 years of hands-on experience in deep learning for computer vision </p><p>• Experience across the full ML stack, including model design, distributed training </p><p>frameworks, evaluation pipelines and resource-constrained inference platforms</p><p>• Experience with simulation environments or synthetic data generation is a strong </p><p>plus </p><p>• Experience with working with integrated sensors, including infrared cameras</p><p>• Master’s degree or PhD in computer science, physics, mathematics, or a related </p><p>technical field- or equal proven practical experience</p><p>Find <a href="https://www.arbeitnow.ch">Jobs in Switzerland</a> on Arbeitnow</a>