A well-funded pioneer building the foundational data layer for audio intelligence.
Senior Machine Learning Research Engineer
You are a researcher who prefers raw waveforms over pre-packaged datasets and understands that the next leap in audio AI depends on infrastructure, not just model architecture. In this role, you will design novel data pipelines and training frameworks that allow deep learning systems to ingest, understand, and generate sound at an unprecedented scale. We offer the resources of a growth-stage organization with the focused mission of a founding team, all centered on solving the hardest problems in acoustic representation.
What they're looking for
- 5 to 15 years of experience shipping production machine learning systems with deep expertise in Python and PyTorch.
- A proven track record of researching or engineering solutions specifically for audio, speech, or signal processing domains.
- Experience architecting scalable data layers that handle massive volumes of unstructured media.
- Ability to thrive in a collaborative, on-site San Francisco environment alongside a dedicated team of 50.