At a Glance
- Tasks: Push audio innovation by combining machine learning with DSP expertise.
- Company: Join Marshall Group, a leader in audio tech with over 60 years of rock 'n' roll history.
- Benefits: Inclusive workplace, relocation support, and opportunities for professional growth.
- Other info: Collaborative environment with a passionate team dedicated to innovation.
- Why this job: Be at the forefront of audio technology and make a real impact on music products.
- Qualifications: Experience in DSP solutions and machine learning for audio applications.
The predicted salary is between 50000 - 70000 € per year.
Marshall Group is the audio, tech, and design powerhouse uniting musicians and music lovers through genre-breaking innovation. Our flagship brand, Marshall, is uniquely positioned with over 60 years of rock 'n' roll attitude on stage, at home, and on the go. Our iconic products are brought to life by a dedicated team of 800 passionate employees and sold in over 90 markets worldwide.
What You'll Do
- You’ll play a key role in pushing the boundaries of audio processing by combining machine learning with DSP expertise.
- From researching next‑generation ML techniques to training models on Marshall’s exclusive back‑catalogue, you’ll help keep Marshall at the cutting edge of audio innovation.
- You’ll write cross‑platform C libraries, optimize ML technologies for Marshall’s hardware, and support the development of the next‑generation of products for guitar players and owning ML features through complete development cycles.
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.
You Probably Have The Following Experiences & 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.
Our pledge: 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. We encourage applications from all over the world. To enable transitioning from another country for a role at Marshall, we offer relocation support. This support is tailored for each role but always includes visa/work permit application, local authority registration, and home finding service. Don’t hesitate to reach out if you have any questions.
Does this sound like you? We look forward to reviewing your application!
Machine Learning DSP Engineer employer: Marshall Group
At Marshall Group, we pride ourselves on being an exceptional employer that champions innovation and creativity in the audio technology sector. Our collaborative work culture fosters personal and professional growth, offering employees the chance to push the boundaries of machine learning and DSP in a vibrant environment steeped in rock 'n' roll heritage. With tailored relocation support and a commitment to inclusivity, we ensure that every team member feels valued and empowered to contribute to our legacy of excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning DSP Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the audio tech and machine learning circles. Attend events, join online forums, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings at Marshall!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your DSP projects and ML models. If you’ve worked on anything related to audio processing or guitar amplifiers, make sure it’s front and centre. This will help us see your passion and expertise in action.
✨Tip Number 3
Prepare for those interviews! Brush up on your coding skills in C or C++, and be ready to discuss your experience with ML techniques. We love candidates who can think on their feet, so practice explaining your thought process during problem-solving.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals who want to push the boundaries of audio innovation, just like you!
We think you need these skills to ace Machine Learning DSP Engineer
Some tips for your application 🫡
Show Your Passion for Audio Tech:When you're writing your application, let your love for audio technology shine through! Share any personal projects or experiences that highlight your enthusiasm for machine learning and DSP. We want to see how you connect with the world of sound.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter to match the job description. Highlight your experience with DSP solutions and ML techniques, and don’t forget to mention any relevant projects. This helps us see how you fit into our team at Marshall!
Be Clear and Concise:Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that showcases your skills without unnecessary fluff!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining the Marshall family!
How to prepare for a job interview at Marshall Group
✨Know Your Audio Tech
Brush up on your knowledge of audio technology and machine learning applications in this field. Be ready to discuss how you've applied DSP solutions in past projects, especially if they relate to guitar amplifiers or musical products.
✨Showcase Your Coding Skills
Prepare to demonstrate your coding abilities in C or C++. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Familiarity with Python or MATLAB for prototyping will also give you an edge.
✨Research Next-Gen ML Techniques
Dive into the latest trends in machine learning, particularly those relevant to audio processing. Be prepared to share your thoughts on how these techniques could be applied at Marshall, showing your passion for innovation.
✨Collaborate and Communicate
Since collaboration is key in this role, think of examples where you've worked effectively in a team. Highlight your communication skills and how you've contributed to successful projects, especially in research-driven environments.
