Title:Audio AI & Digital Signal Processing Engineer
Company Overview:
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. Their rapidly growing team collaborates with some of the biggest names in the entertainment, media, and technology sectors.
The Opportunity:
We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high-impact environment. 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.
Why Join Us?
- Be part of a high-impact, high-growth team driving innovation in AI-driven audio technology.
- Collaborate with top-tier professionals in AI, audio engineering, and digital media.
- Work on groundbreaking projects with direct applications in music, entertainment, and security.
- Enjoy flexible remote work arrangements with opportunities for travel and collaboration.
- Competitive compensation package, including salary, performance bonuses, and potential equity.
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.
About Blue Signal:
Blue Signal is a leading executive search firm, specializing in engineering recruitment. Our engineering recruiting team has expertise placing high-performing talent in areas such as electrical, mechanical, civil, and telecom engineering. Learn more atbit.ly/46IAFRJ
