AI Acoustic Engineer (m/f/d) – UAV Detection, Localization & Signal Processing
Entwickelt und trainiert neuronale Netze zur akustischen UAV-Detektion und Lokalisierung und integriert sie in Sensorfusionssysteme.
Entwickelt und trainiert neuronale Netze zur akustischen UAV-Detektion und Lokalisierung und integriert sie in Sensorfusionssysteme.
You will take ownership of the design, implementation, and adaptation of AI-driven optimization and planning algorithms, ensuring the contin
Konzeption und Implementierung skalierbarer ML-Pipelines für Training, Evaluation, Deployment und Optimierung Aufbau moderner Embedding- und
Die Adolf Würth GmbH & Co.
Fuse Energy is an energy startup on a mission to make energy abundant and affordable, fast.
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
im Team Als AI-Research Engineer mit Software-Engineering-Hintergrund sind Sie ein zentrales Mitglied des CASABLANCA Research Teams und ein
provides an opportunity to build and develop strong practical data science skills while contributing to measurable business outcomes.
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KI für Bilder und Punktwolken entwickeln: Du entwickelst Anwendungen zur Auswertung von Bilddaten, Punktwolken und 3D-Daten, beispielsweise
Gerade starten wir neue Projekte, bei denen wir von Anfang an AI-first denken – von der Entwicklung bis zur Produktidee.
CT is a European-based international engineering company with a clear mission: to provide innovative and technological solutions that help o
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Tabular data breaks the assumptions that make scaling work for language and vision.
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At Mirelo, you’ll work at the centre of how we build the next generation of multimodal video-to-audio models.
Entwirft und trainiert neuronale Audio-Codecs für generative Sound-, Musik- und Sprachmodelle und prüft deren Nutzen in Downstream-Experimenten.
Warum dieser Job gelistet ist
Das Arbeitsergebnis ist selbst KI-Modelltraining und -Entwicklung; ohne KI fehlt die Kernaufgabe vollständig.. Prüfverfahren ansehen
Extensive, hands-on experience in AI-driven audio signal processing, acoustics, or acoustic sensing - Deep knowledge of neural network models for sound applications, including detection, classification, and localization - Demonstrated ability to design, modify, and extend network architectures, not limited to off-the-shelf models - Strong background in microphone array processing, acoustic beamforming, sound localization, and noise reduction - Proven experience with data acquisition, labeling pipelines, augmentation strategies, and training models from scratch or adapting them to custom classes - Solid understanding of real-time DSP and AI-enhanced signal processing systems - High proficiency in Python and PyTorch, with practical experience using audio processing libraries and frameworks
- Work in an international, agile team creating the future of autonomous systems - Grow your career in a expanding and ambitious engineering team - Build innovative products using state-of-the-art technologies in AI, robotics, and autonomy - Benefit from a steep learning curve and continuous development - Enjoy team events and a strong, collaborative culture Your mission - Develop and deploy AI-driven acoustic sensing systems for UAV detection, classification, localization, and tracking - Design, train, and extend custom neural network architectures for analyzing acoustic signatures, noise patterns, and audio anomalies - Optimize real-time audio signal processing pipelines for UAV swarm coordination, defense systems, and stealth detection - Apply microphone array processing, acoustic beamforming, Doppler analysis, and advanced noise reduction techniques to improve UAV audio sensing performance - Lead hands-on efforts in data collection, labeling, augmentation, and training for complex, custom acoustic datasets - Integrate AI-powered acoustic models into multi-modal sensor fusion frameworks (Radar, RF, EO/IR, LiDAR) - Ensure compliance with defense and aerospace standards (MIL-STD, ITAR, NATO STANAGs, IEC acoustic systems)
- Experience with acoustic sensing in military or defense environments, including UAV surveillance and stealth detection - Knowledge of psychoacoustics, bio-inspired hearing models, or advanced acoustic modeling - Familiarity with ROS-based systems, real-time environments, and C++ - Experience deploying, optimizing, and maintaining machine learning models in production or embedded systems - Background in adversarial AI for sound recognition, acoustic anomaly detection, or sonar intelligence What else - Intrinsic motivation, attention to detail, and strong problem-solving mindset - Creative thinker with a structured and systematic approach - Humble and collaborative — prioritizes collective success over individual recognition - High ethical standards and disciplined work ethic - Extra-curricular leadership or achievements are a bonus - Fluent in English - Nationality of a NATO member nation or close ally is required
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur OriginalanzeigeModelle bauen, trainieren und verbessern: von klassischem Machine Learning über Computer Vision bis zum Feinschliff großer Sprachmodelle.