The role
- COMP
- $250K - $320K
- EQUITY
- Competitive equity
- LOCATION
- San Francisco
- WORKPLACE
- On-site
- EXPERIENCE
- 5 - 15 years
- VISA
- None, Visa transfers
- STACK
- Python, PyTorch
- INDUSTRY
- AI, Data, B2B
/roles — ROLE_103
Senior Machine Learning Research Engineer
The data layer for audio AI
The company
Audio-data research company trusted by top AI labs to build the proprietary speech datasets that power their models.
- STAGE
- growth-stage
- FUNDING
- $80M+ raised
- TEAM
- ~50 people
- FOUNDED
- 2024
- BACKING
- backed by Y Combinator
JD — the work
About the role
Own full research directions at the frontier of audio AI — from design and training to deployment — at a fast-growing data-research company backed by NVIDIA and top-tier investors, whose speech and audio models power the data layer for the world's leading AI labs.
What you'll do
- Own ML research end to end: design, train, deploy, fine-tune speech/audio models
- Publish at the NeurIPS/ICML/ICLR level and advance the state of the art
- Build production inference and pipelines processing terabytes of audio daily
- Partner with ops and engineering on training/eval datasets
- Set ML roadmaps and mentor as the team scales
What they're looking for
- 5+ years (PhD + industry, or 5 years industry with publications)
- Top-conference publication record
- Research-driven, end-to-end ownership style