About the Role
Right now, we need to strengthen our Software team with a Machine Learning DSP Engineer who will focus on developing audio algorithms using machine learning techniques and deploying cutting‑edge ML solutions to embedded platforms.
Roles & Responsibilities
- Write and maintain cross‑platform C libraries for audio processing across Marshall's product range, and optimize existing ML technologies for deployment on Marshall's hardware.
- Research next‑generation ML techniques to keep Marshall at the cutting edge, and train models on Marshall's exclusive back catalogue.
- Support specification and implementation of next‑generation products for guitar players, and work on Proof of Concept (PoC) projects.
- Conduct code reviews, maintain documentation, and provide support to the embedded and DSP team on non‑ML tasks when needed.
Who We're Looking For
You're passionate about audio technology and excited by the possibilities of machine learning. You thrive in a research‑driven environment but are equally comfortable getting hands‑on with implementation and optimization. You’re collaborative, curious, and committed to delivering solutions that work beautifully in real‑world products.
Experience & Skills
- At least a couple of years developing and integrating DSP solutions for audio applications, particularly in guitar amplifiers or musical/audio products.
- Extensive provable experience with ML/AI solutions for audio through professional experience or a postgraduate degree.
- Solid expertise in DSP fundamentals and their practical application to audio effects and processing techniques.
- Strong coding skills in C or C++, with experience in Python or MATLAB for prototyping and testing.
- Professional experience with Git for source control, and ideally knowledge of embedded systems, guitar playing, or analogue electronics.
Inclusive Workplace
We thrive to foster an inclusive workplace and we do not discriminate on the basis of race, religion, disability, colour, national origin, gender, sexual orientation, age or marital status. We firmly believe that Marshall thrives when our employees do, leading to better experiences for our consumers.
Location: Milton Keynes, Hybrid.
