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- Tasks: Lead innovative audio ML research projects and develop advanced communication technologies.
- Company: Established audio technology company with a focus on cutting-edge solutions.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Other info: Join a dynamic team in a collaborative environment with excellent career prospects.
- Why this job: Make a real impact in audio technology while leading exciting research initiatives.
- Qualifications: MSc or PhD in relevant fields and strong Python programming skills.
The predicted salary is between 80000 - 90000 £ per year.
Join an established audio technology company as their Machine Learning Research Lead and help them to develop advanced communications technology used in challenging environments.
This is an ideal role for someone who has been leading audio ML research projects and is looking for more responsibility, or for someone already working in a lead position who would like to apply their research in a new area.
You'll need excellent Python skills, a background in signal processing and experience in speech enhancement or speech-to-text.
Requirements:
- MSc or PhD in AI, Machine Learning, Computer Science, Maths, Engineering or similar, focused on audio
- Experience leading teams or projects in audio AI or audio machine learning
- Strong Python programming skills
- Expert in ML frameworks (PyTorch or other)
- Detailed knowledge of real time audio signal processing or real time machine learning
- Experience with speech enhancement or speech-to-text
- Background in signal processing or music tech
Machine Learning Research Lead - Audio in South Bank employer: The Audio Programmer
Contact Detail:
The Audio Programmer Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Research Lead - Audio in South Bank
✨Tip Number 1
Network like a pro! Reach out to people in the audio tech and machine learning fields. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the industry. You never know where a casual chat might lead!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in audio ML, especially those involving speech enhancement or signal processing. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and ML frameworks. Be ready to discuss your past projects and how they relate to the role. Practice common interview questions and think about how your experience aligns with their needs.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Machine Learning Research Lead - Audio in South Bank
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in audio ML research and any relevant projects you've led. We want to see how your skills align with the role, so don’t be shy about showcasing your Python prowess and knowledge of signal processing!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about audio technology and how your background makes you the perfect fit for this role. We love seeing enthusiasm and a clear connection to our mission.
Showcase Relevant Projects: If you've worked on any projects related to speech enhancement or real-time audio processing, make sure to mention them. We’re keen to see practical examples of your work, so include links or descriptions that highlight your contributions.
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 proactive and ready to join our team!
How to prepare for a job interview at The Audio Programmer
✨Know Your Stuff
Make sure you brush up on your Python skills and be ready to discuss your experience with ML frameworks like PyTorch. They’ll likely ask you about specific projects you've led in audio ML, so have some examples ready that showcase your expertise.
✨Showcase Your Leadership
Since this role involves leading teams, be prepared to talk about your leadership style and how you've successfully managed projects in the past. Think of specific challenges you faced and how you overcame them, especially in audio technology.
✨Understand the Company’s Needs
Research the company’s current projects and technologies. Knowing what they’re working on will help you tailor your answers and show that you’re genuinely interested in contributing to their goals, particularly in speech enhancement and signal processing.
✨Ask Smart Questions
Prepare insightful questions that demonstrate your knowledge of the field and the company. Ask about their approach to real-time audio processing or future projects in audio AI. This shows you're not just there to answer questions but are also thinking critically about the role.