Applied Researcher, Audio Post-Training
Core
Building and improving capabilities for generative audio models by bridging customer needs with research, covering the full spectrum from ideation to productionization.
Role type
Applied Researcher, Audio Post-Training
Builds
Generative audio models and the customer-facing model experience
Domain
AI / Machine Learning / Audio
Deliverable
production ML models
Required skills
software engineering, debugging complex systems, training generative models (SFT, RL, synthetic data), evaluation design, data processing pipelines, root cause analysis
Preferred skills
native proficiency in languages other than English
Technologies
SSMs, SFT, RL, synthetic data generation
Responsibilities
Design evaluations to measure new model capabilities, build processing pipelines to improve data quality, experiment with finetuning and reinforcement learning approaches, root cause failures in production models, decide which features are ready for public launch
Seniority
Mid-Senior, hands-on IC
