Research Scientist – Audio Codec
Mirelo AI
full-time
Posted on:
Location Type: Hybrid
Location: Berlin • Germany
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About the role
- Develop and implement new neural audio codecs for sound, music and speech that push the state-of-the art in sound quality and are optimized for the the use case of generative models.
- Think about the specific challenges that arise when the codec is primarily used as a latent representation in the context of generative audio models (in the end, the ultimate goal is to build the best audio generative models)
- Explore the trade-offs of continuous (as typically used for diffusion models) vs. discrete audio representations (as typically used for autoregressive models).
- Develop benchmarking pipelines for codec evaluation
- Conduct initial experiments with generative models to verify that a new candidate codec is actually useful for our downstream tasks.
Requirements
- Strong background in deep learning for audio: neural codecs, source separation, speech models, or generative audio systems
- Specific hands-on experience in designing and training neural audio codecs
- Solid understanding of audio signal processing fundamentals
- Strong track record (research and/or open-source) in the field of audio ML
- Nice to Have: Hands-on experience with generative audio models and good intuition of how the choice of the codec influences the training and performance of the generative model
- Strong publication record (e.g., NeurIPS, ICML, ICLR, Interspeech, ICASSP, WASPAA)
Benefits
- Competitive compensation and equity
- Strong packages that ensure you share in the success you help create.
- True ownership from day one. You'll have genuine autonomy and responsibility. Your ideas and work will directly shape our product and company direction.
- Join at a pivotal moment. We've secured fresh funding and are gaining traction - now is when your contributions can make a real difference to our success.
- Build for the next generation of creators. Be part of the innovation that will transform how creators work and thrive.
Applicant Tracking System Keywords
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Hard Skills & Tools
neural audio codecsdeep learningaudio signal processinggenerative audio modelssource separationspeech modelsbenchmarking pipelinestraining neural audio codecsaudio ML