Principal Applied Scientist
Core
Define technical direction for multilingual speech models and speech LLMs, focusing on accuracy, latency, and compute optimization while building novel data generation and analysis solutions.
Role type
Principal Applied Scientist (Speech & LLMs)
Builds
Multilingual speech models, speech LLMs, and data generation pipelines
Domain
Speech technology, Machine Learning, Large Language Models
Deliverable
production ML models
Required skills
Machine learning, Speech technology, Python, C++, Large-scale data processing, Distributed computing, Model customization, Data analysis
Preferred skills
Azure, Cloud-based AI platforms, Voice agent technologies, Open-source contributions, Patents, Academic publications
Responsibilities
Set technical directions for multilingual speech models and speech LLMs, Build novel data generation solutions to synthesize complex speech scenarios, Build data analysis metrics to understand model results and identify gaps, Mentor and influence peers to foster a growth-oriented team culture
Seniority
Principal, strategy & mentorship