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- Tasks: Lead cutting-edge audio ML research and develop advanced communication tech.
- Company: Established audio technology company with a focus on innovation.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on real-time audio solutions.
- Why this job: Make a real impact in audio technology and work on exciting projects.
- Qualifications: MSc or PhD in relevant fields and strong Python skills required.
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.
Responsibilities:
- Lead audio ML research projects and provide strategic direction for research initiatives.
- Apply research to develop advanced communications technology used in challenging environments.
- Collaborate with cross‑functional teams to translate research outcomes into deployable solutions.
Qualifications:
- 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 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
✨Tip Number 1
Network like a pro! Reach out to folks in the audio tech and machine learning space. Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in audio ML or any relevant research. This could be anything from GitHub repos to case studies. It’s a great way to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with ML frameworks like PyTorch. Practice explaining complex concepts in simple terms – it’ll impress the interviewers and show you can collaborate effectively.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the specific role.
We think you need these skills to ace Machine Learning Research Lead - Audio
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in audio ML 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 expertise in ML frameworks!
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 our team. We love hearing about your vision for advancing communications tech!
Showcase Your Projects: If you've worked on any cool audio ML projects, make sure to mention them! We’re interested in seeing how you’ve applied your research in real-world scenarios, especially in challenging environments. Include links or descriptions if possible!
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 don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at The Audio Programmer
✨Know Your Stuff
Make sure you brush up on your knowledge of audio machine learning and real-time audio signal processing. Be ready to discuss specific projects you've worked on, especially those involving speech enhancement or speech-to-text. This will show that you’re not just familiar with the theory but have practical experience too.
✨Showcase Your Leadership Skills
Since this role involves leading research projects, be prepared to talk about your experience in managing teams or projects. Share examples of how you’ve guided a team through challenges and what strategies you used to ensure successful outcomes. This will demonstrate your capability to lead effectively.
✨Familiarise Yourself with Their Tech
Research the company’s existing audio technology and any recent advancements they’ve made. Understanding their products and how your skills can contribute to their goals will help you stand out. It shows genuine interest and that you’re proactive about integrating into their team.
✨Prepare for Technical Questions
Expect technical questions related to Python programming and ML frameworks like PyTorch. Brush up on your coding skills and be ready to solve problems on the spot. Practising common algorithms and data structures relevant to audio processing can give you an edge during the interview.