At a Glance
- Tasks: Innovate audio processing solutions using machine learning and develop cross-platform C libraries.
- Company: Marshall Group, a leader in audio technology with an inclusive workplace.
- Benefits: Relocation support, collaborative culture, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and collaboration.
- Why this job: Join a passionate team and shape the future of audio for guitar players.
- Qualifications: Experience in DSP and strong coding skills in C/C++ required.
The predicted salary is between 40000 - 50000 € per year.
Marshall Group in Milton Keynes is seeking an experienced audio DSP Engineer to innovate audio processing solutions using machine learning. You will develop cross-platform C libraries, research ML techniques, and support product development for guitar players.
Ideal candidates have experience in DSP, strong coding skills in C/C++, and a collaborative mindset. Marshall Group champions an inclusive workplace and provides relocation support for international applicants.
ML‑DSP Audio Engineer (Embedded) employer: Marshall Group
Marshall Group is an exceptional employer, offering a dynamic and inclusive work environment in Milton Keynes where innovation thrives. As a ML-DSP Audio Engineer, you will have the opportunity to work on cutting-edge audio processing solutions while collaborating with a passionate team. The company supports employee growth through continuous learning opportunities and provides relocation assistance for international talent, making it an attractive choice for those seeking meaningful and rewarding careers in audio technology.
StudySmarter Expert Advice🤫
We think this is how you could land ML‑DSP Audio Engineer (Embedded)
✨Tip Number 1
Network like a pro! Reach out to folks in the audio DSP and machine learning communities. Attend meetups or online webinars, and don’t be shy about asking for advice or insights. You never know who might have a lead on that perfect role at Marshall Group!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in audio processing and machine learning. Whether it’s a GitHub repo with your C/C++ libraries or a blog post explaining your latest innovation, let your work speak for itself.
✨Tip Number 3
Prepare for those interviews! Brush up on your DSP knowledge and coding skills. Practice common interview questions related to audio engineering and machine learning. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Tailor your CV and cover letter to highlight your experience in DSP and collaboration, and make sure to express your passion for supporting guitar players through innovative audio solutions.
We think you need these skills to ace ML‑DSP Audio Engineer (Embedded)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with DSP and coding in C/C++. We want to see how your skills align with the role, so don’t hold back on showcasing your projects or any relevant work you've done!
Tailor Your Application:Take a moment to customise your application for the ML-DSP Audio Engineer position. We love seeing candidates who understand our needs and can demonstrate how they can contribute to our innovative audio processing solutions.
Be Yourself:We value a collaborative mindset, so let your personality shine through in your application. Share your passion for audio engineering and machine learning, and don’t be afraid to show us what makes you unique!
Apply Through Our Website:For the best chance of success, make sure to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you’re considered for the role!
How to prepare for a job interview at Marshall Group
✨Know Your DSP Inside Out
Make sure you brush up on your digital signal processing (DSP) knowledge. Be ready to discuss specific techniques you've used in past projects, especially those involving audio processing. This will show your expertise and passion for the field.
✨Show Off Your Coding Skills
Since strong coding skills in C/C++ are crucial for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges related to audio processing or machine learning to feel confident.
✨Research Machine Learning Techniques
Familiarise yourself with the latest machine learning techniques relevant to audio processing. Be prepared to discuss how you can apply these techniques to innovate solutions for guitar players. This shows that you're not just technically skilled but also forward-thinking.
✨Emphasise Collaboration
Marshall Group values a collaborative mindset, so think of examples where you've successfully worked in a team. Highlight your communication skills and how you’ve contributed to group projects, as this will resonate well with their inclusive workplace culture.
