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- Tasks: Develop and optimise algorithms for audio signal processing and generative AI models.
- Company: Join an innovative leader in AI-driven audio technology, shaping the future of sound.
- Benefits: Enjoy flexible remote work, competitive pay, performance bonuses, and potential equity.
- Why this job: Work on groundbreaking projects with top professionals in a fast-paced, high-impact environment.
- Qualifications: Master's or Ph.D. in relevant fields; strong DSP and machine learning background required.
- Other info: This role offers mentorship opportunities and collaboration with major industry players.
The predicted salary is between 43200 - 72000 £ per year.
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.
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.
- 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.
- 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.
- 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.
Contact Detail:
Blue Signal Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Audio AI & Digital Signal Processing Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in audio AI and digital signal processing. Follow industry leaders on social media, read relevant research papers, and participate in online forums to stay updated. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the audio technology sector. Attend conferences, webinars, or local meetups focused on AI and DSP. Building connections can lead to valuable insights about job openings and may even result in referrals, which can significantly boost your chances of landing the role.
✨Tip Number 3
Showcase your practical experience with projects related to audio AI and DSP. Whether it's through personal projects, contributions to open-source software, or internships, having tangible examples of your work can set you apart from other candidates. Be prepared to discuss these projects in detail during interviews.
✨Tip Number 4
Prepare for technical interviews by brushing up on your programming skills, particularly in Python, C++, and MATLAB. Practice solving problems related to audio signal processing and machine learning algorithms. Being well-prepared will help you confidently tackle any technical challenges presented during the interview process.
We think you need these skills to ace Audio AI & Digital Signal Processing Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in digital signal processing and machine learning. Include specific projects or roles where you've developed algorithms or worked with generative AI models, as this is crucial for the Audio AI & DSP Engineer position.
Craft a Compelling Cover Letter: In your cover letter, express your passion for audio technology and how your background aligns with the company's innovative approach. Mention any relevant experience with audio watermarking or forensic analysis to demonstrate your fit for the role.
Showcase Technical Skills: Clearly list your programming skills, especially in Python, C++, and MATLAB, along with your experience with deep learning frameworks like TensorFlow or PyTorch. This will help the hiring team see your technical capabilities at a glance.
Highlight Collaborative Experience: Since the role involves working with interdisciplinary teams, include examples of past collaborations in your application. Emphasise your communication skills and any leadership roles you've taken on, particularly in cross-functional environments.
How to prepare for a job interview at Blue Signal Search
✨Showcase Your Technical Skills
Be prepared to discuss your experience with digital signal processing and machine learning. Bring examples of projects you've worked on, especially those involving audio applications, and be ready to explain the algorithms and techniques you used.
✨Demonstrate Your Problem-Solving Abilities
Expect to face technical challenges during the interview. Practice articulating your thought process when tackling complex problems, particularly in real-time audio processing or generative AI models. This will show your analytical skills and creativity.
✨Familiarise Yourself with Current Trends
Stay updated on the latest advancements in audio AI and DSP. Being able to discuss recent research or innovations in the field will demonstrate your passion and commitment to staying at the forefront of technology.
✨Prepare for Collaborative Scenarios
Since the role involves working with interdisciplinary teams, be ready to discuss your collaboration experiences. Highlight how you've successfully communicated and worked with others to achieve project goals, especially in cross-functional environments.
