{"id":15767,"url":"https://alion.io/job/destinus-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":4830,"name":"Destinus","domain":"destinus.com","url":"https://alion.io/company/destinus","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":84,"open_postings":11,"ghost_share":0,"stale_share":0.455,"repost_share":0,"time_to_fill_p50_days":70,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Zurich, Switzerland"],"countries":["CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":105000,"max_usd":243000,"period":"year","method":"role_country_seniority_unknown","sample_n":18},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false},{"name":"Rust","optional":false},{"name":"Synthetic Data","optional":false},{"name":"Transfer Learning","optional":false}],"status":"live","first_seen_at":"2026-08-20T00:00:00Z","employer_posted_date":"2026-08-20","last_verified_at":"2026-10-16T07:25:05Z","board_verified":true,"closed_at":null,"days_open":57,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":57},"description":"About the role\nImagine building intelligent systems that don’t just work in perfect lab conditions, but perform reliably in the real world, where uncertainty is the norm and failure is not an option. 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.\nAt Destinus, we are shaping the future of defense through high-speed, autonomous flight technologies. We develop next-generation unmanned aerial systems that deliver greater speed, precision, and efficiency, supporting governments and defense organizations in mission-critical operations worldwide. Daedalean AG, the AI and autonomy hub of the Destinus Group, plays a key role in this vision. Developing safety-critical AI systems at the intersection of advanced research and real-world aviation. Enabling machines to perceive, understand, and make decisions in real time. Together, we combine aerospace engineering and artificial intelligence to build the next generation of autonomous flight systems, driving innovation where it matters most.\nWhat You´ll Do\nDesign, train, and optimize deep learning models for computer vision tasks in highly dynamic and safety-critical environments \nOwn the full ML lifecycle, from data strategy and model architecture to deployment and performance monitoring \nDevelop robust evaluation pipelines to ensure models meet strict reliability and safety requirements \nWork on ML certification activities, validating model behavior under defined regulatory frameworks \nLeverage transfer learning and simulation to scale training and testing beyond real-world data limitations \nCollaborate closely with software, systems, and flight teams to integrate ML models into real-world applications \nContinuously push model performance across edge cases, environmental variability, and operational constraints \nRequirements\nWhat You’ll Need\nStrong programming skills in C++ or Rust\nAt least 5 years of hands-on experience in deep learning for computer vision \nExperience across the full ML stack, including model design, training pipelines, and evaluation systems \nSolid understanding of data-centric AI approaches, including dataset curation and augmentation strategies \nExperience with simulation environments or synthetic data generation is a strong plus \nExperience with sensors, specifically thermal is a strong plus \nMaster’s or PhD in computer science, physics, mathematics, or a related technical field \nWho You Are\nYou thrive in environments where problems are hard, ambiguous, and worth solving. You are not just training models, you are engineering systems that must work every time. You think long-term, validate everything, and take ownership of performance in the real world. 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