- Architect, implement, pre-train, fine-tune, and align large-scale speech models.
- Design and execute scientific experiments to advance model performance.
- Develop internal tools to improve team productivity.
- Define data requirements and lead strategies for acquisition, curation, and synthetic data.
- Design rigorous objective and subjective evaluation frameworks, including listening tests and robustness checks.
- Harden the training-to-inference pipeline to meet production SLAs, including latency and cost profiling.
- Implement safety and consent guardrails for responsible speech technology.
Machine LearningPyTorchC+++1 more