Member of Technical Staff - Multi-Modal - Audio

Liquid AI is a company spun out of MIT CSAIL that develops general-purpose AI systems. The role involves building and scaling audio model training pipelines and systems, with a focus on real-time performance and customer deployments.

Responsibilities:

• Build and scale data pipelines for audio model training, including preprocessing, augmentation, and quality filtering at scale
• Design, implement, and maintain evaluation systems that measure multimodal performance across internal and public benchmarks
• Fine-tune and adapt audio models for customer-specific use cases, owning delivery from requirements through deployment
• Contribute production code to the core audio repository, collaborating with infrastructure and research teams
• Support experimentation under real hardware constraints, shifting between customer work and core development as priorities evolve