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
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A Snapshot of Your Day You re building the foundation of the Financial Planning & Analysis of tomorrow.
Die Adolf Würth GmbH & Co.
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
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AI Engineer - FDE (Forward Deployed Engineer) Req ID: CSQ427R334 We welcome remote applicants located near our offices.
Job Title: Technical Project Lead, Agentic AI Location: Berlin or Munich, Germany Why this role matters German Mittelstand companies urgentl
provides an opportunity to build and develop strong practical data science skills while contributing to measurable business outcomes.
Every morning, thousands of people relearn to speak with myReha, and your models listen to every attempt.
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Build AI Agents with domain context for specialized tasks, including multi-step reasoning, tool use, and autonomous decision-making.
HOLYWATER TECH — це технологічна компанія, яка створює розважальні продукти на перетині людської творчості та штучного інтелекту.
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In this role, you will work in the field of AI for CT image formation, reconstruction and denoising.
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
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