Machine Learning Engineer

Overview As a Machine Learning Engineer at Destinus, you will advance computer vision for high-stakes, real-world autonomous systems. You’ll own models that must operate reliably in dynamic, safety-critical environments, blending deep learning, simulation, and verification. Your work supports real-time perception and decision-making for next-generation unmanned flight technologies. This role offers impact across development, deployment, and certification processes within a mission-focused team.

Verantwortungsbereiche Design, train, and optimize deep learning models for CV tasks in dynamic, safety-critical settings Own the end-to-end ML lifecycle from data strategy to deployment and monitoring Build robust evaluation pipelines ensuring reliability and safety requirements Contribute to ML certification activities under regulatory frameworks Leverage transfer learning and simulation to scale training beyond real-world data Collaborate with software, systems, and flight teams to integrate ML models Push performance across edge cases, variability, and operational constraints Zentrale Anforderungen Strong programming skills in C++ or Rust 5+ years of hands-on experience in deep learning for computer vision Experience across model design, training pipelines, and evaluation systems Solid data-centric AI understanding including dataset curation and augmentation Experience with

simulation environments or synthetic data generation is a strong plus Proven ability to tackle complex research problems in academic and industrial settings Problem solving in ambiguous, hard problems Ownership and accountability for system performance Collaborative mindset with cross-functional teams C++ or Rust programming Deep learning for computer vision Data-centric AI, dataset curation and augmentation