Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a dynamic team to develop cutting-edge music production software.
- Company: Be part of an innovative audio software company focused on AI and music technology.
- Benefits: Enjoy remote work flexibility and the chance to contribute to exciting projects.
- Why this job: Work on groundbreaking audio research that shapes the future of music technology.
- Qualifications: PhD in relevant fields with expertise in speech synthesis and processing required.
- Other info: This is a long-term contract position, perfect for passionate innovators.
The predicted salary is between 36000 - 60000 £ per year.
This is a remote position. Assistant Audio Research Engineer / Deep Learning Engineer Audio AI / Music Technology Long Term Contract Remote working from anywhere New role for an Assistant Audio Research Engineer to join a small specialised research team at an audio software company and help them to develop their next innovative music production software products. Were specifically looking for a PhD holder with published research and expertise in one (or more!) of the following areas: Speech synthesis Singing voice synthesis Automatic speech recognition Speech processing MIR PhD PyTorch Speech ProcessingEducationPhD Key Skills Computer Science,E & I,Debugging,C/C++,Objective C,Swift,OS Kernels,Signal Processing,Matlab,Unreal Engine,Middleware,IOS Employment Type : Full Time Experience: years Vacancy: 1
Assistant Audio Research Engineer / Deep Learning Engineer employer: Dr Jobs
Contact Detail:
Dr Jobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Assistant Audio Research Engineer / Deep Learning Engineer
✨Tip Number 1
Network with professionals in the audio AI and music technology fields. Attend relevant conferences, webinars, or online meetups to connect with industry experts and learn about potential job openings.
✨Tip Number 2
Showcase your research work and projects on platforms like GitHub or personal websites. This will not only demonstrate your expertise but also give you a chance to highlight your skills in PyTorch and other relevant technologies.
✨Tip Number 3
Engage with the community by contributing to open-source projects related to audio processing or deep learning. This can help you gain visibility and establish connections that may lead to job opportunities.
✨Tip Number 4
Prepare for technical interviews by brushing up on your knowledge of signal processing and machine learning algorithms. Practising coding challenges in C/C++ or Python can also be beneficial for demonstrating your programming skills.
We think you need these skills to ace Assistant Audio Research Engineer / Deep Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your PhD and any relevant research publications. Emphasise your expertise in areas like speech synthesis, automatic speech recognition, and any programming languages or tools mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that connects your background in audio research and deep learning to the specific needs of the company. Mention your passion for music technology and how your skills can contribute to their innovative projects.
Showcase Relevant Projects: If you have worked on projects related to audio processing or machine learning, include them in your application. Briefly describe your role, the technologies used, and the outcomes achieved to demonstrate your hands-on experience.
Proofread and Edit: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail and professionalism, which is crucial in a technical role.
How to prepare for a job interview at Dr Jobs
✨Showcase Your Research
Be prepared to discuss your PhD research in detail. Highlight any published papers and how they relate to the role, especially in areas like speech synthesis or audio processing.
✨Demonstrate Technical Skills
Familiarise yourself with the key technologies mentioned in the job description, such as PyTorch and signal processing. Be ready to discuss your experience with these tools and how you've applied them in past projects.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your debugging skills and understanding of audio software development. Practice explaining your thought process clearly and logically when tackling complex problems.
✨Cultural Fit and Team Dynamics
Since this is a remote position, be ready to discuss how you work in a team environment from a distance. Share examples of successful collaboration in previous roles, emphasising communication and adaptability.