At a Glance
- Tasks: Research and develop cutting-edge voice and audio technologies using machine learning.
- Company: Join a leading voice technology company at the forefront of innovation.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on groundbreaking research.
- Why this job: Make a real impact in the exciting field of audio technology and machine learning.
- Qualifications: PhD or MSc in relevant fields and experience in audio machine learning.
The predicted salary is between 60000 - 84000 £ per year.
Join a voice technology company as a Machine Learning Researcher and help them to continue developing cutting-edge voice, speech and noise cancellation technologies. As part of their audio technology research team, you'll be responsible for:
- Carrying out research on deep learning audio
- Evaluating and testing AI and ML models
- Implementing and training models
- Model research, implementation, training, evaluation and inference
- Writing reports and research papers
With several products already on the market and thousands of users, this is a great time to join a company at the forefront of voice isolation and speech separation. Hybrid working pattern with 2-3 days a week in their Central London R&D centre.
Requirements
- PhD or MSc in AI, Machine Learning, Computer Science, Maths or similar
- Experience in speech separation or stem separation
- Strong background in real-time audio machine learning research
- Detailed knowledge of machine learning and deep learning concepts
- Real-time audio signal processing / real-time machine learning
- CNNs, RNNs, state space models
- Python, PyTorch
Machine Learning Researcher - Audio in London employer: The Audio Programmer
The Audio Programmer is an exceptional employer, offering a dynamic and innovative work culture in High Wycombe that fosters creativity and collaboration. Employees benefit from hands-on experience throughout the product development life cycle, with ample opportunities for professional growth in the exciting field of music technology. The flexible on-site work arrangement allows for a balanced approach to project demands while being part of a passionate team dedicated to pushing the boundaries of audio electronics.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Researcher - Audio in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to audio machine learning. We recommend including any research papers or models you've worked on to demonstrate your expertise.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We suggest practicing common ML interview questions and even doing mock interviews with friends or mentors to build confidence.
✨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 Researcher - Audio in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in audio machine learning and any relevant projects. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about voice technology and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Research Skills:Since this role involves a lot of research, include any papers or projects you've worked on that demonstrate your expertise in deep learning and audio processing. We love seeing your work in action!
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 from our team!
How to prepare for a job interview at The Audio Programmer
✨Know Your Stuff
Make sure you brush up on your deep learning and audio processing knowledge. Be ready to discuss your experience with CNNs, RNNs, and real-time audio machine learning. The more specific examples you can provide from your past work or research, the better!
✨Showcase Your Research Skills
Prepare to talk about any research papers you've written or projects you've worked on. Highlight your ability to evaluate and test AI and ML models, as well as your experience in model implementation and training. This will show them you’re not just theoretical but practical too.
✨Ask Smart Questions
Come prepared with insightful questions about their current projects or challenges they face in voice technology. This shows your genuine interest in the role and helps you understand how you can contribute to their team.
✨Practice Makes Perfect
Consider doing mock interviews with a friend or mentor. Focus on articulating your thoughts clearly, especially when discussing complex topics like speech separation and noise cancellation technologies. Confidence is key!
