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    • Audio AI - Gloucester, England, United Kingdom - JR United Kingdom

    JR United Kingdom
    JR United Kingdom Gloucester, England, United Kingdom

    1 week ago

    Default job background
    Description

    Audio AI & Digital Signal Processing Engineer

    Our client is an innovative leader in AI-driven audio technology, pioneering advancements in digital signal processing (DSP) and generative AI. With a cutting-edge approach to watermarking, forensic analysis, and sound synthesis, this company is shaping the future of audio authenticity and AI-powered content creation.

    The ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications.

    Key Responsibilities:

    • Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction.
    • Design and train generative AI models to create, process, and analyze audio content.
    • Implement and refine AI-based forensic audio analysis and watermarking techniques to ensure authenticity and attribution.
    • Collaborate with interdisciplinary teams to manage and preprocess large datasets for AI training.
    • Optimize model performance for real-time inference and scalability in production environments.
    • Stay at the cutting edge of research and technological advancements in audio AI, DSP, and machine learning.
    • Provide technical leadership and mentorship to junior engineers and research teams.

    Required Qualifications:

    • Master's or Ph.D. in Computer Science, Electrical Engineering, Music Technology, or a related field.
    • Strong background in digital signal processing (DSP) and machine learning applied to audio.
    • Proficiency in programming languages such as Python, C++, and MATLAB.
    • Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, etc.).
    • Understanding of real-time and embedded audio processing techniques.
    • Experience working with generative AI models for audio synthesis and transformation.
    • Strong problem-solving skills with the ability to implement robust, efficient, and scalable solutions.
    • Excellent communication and collaboration skills in cross-functional environments.

    Preferred Experience:

    • Expertise in neural network architectures and generative adversarial networks (GANs) for audio applications.
    • Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI.
    • Experience with cloud-based AI/ML infrastructure for training and deployment.
    • Background in audio engineering, acoustics, or music technology.

    This is more than just an engineering role—it's an opportunity to influence the future of AI-powered audio solutions. If you're passionate about audio technology, machine learning, and creating cutting-edge solutions, we want to hear from you.

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