Research Staff, Voice AI Foundations [Remote]

📋 Description

• Pioneer the development of Latent Space Models (LSMs) to solve data, scale, and cost challenges in
• Build next-generation neural audio codecs for extreme low bit-rate compression and high fidelity
• Develop steerable generative models that synthesize diverse human speech from codec latent
• Create embedding systems that factorize codec latent space into interpretable dimensions
• Leverage latent recombination to generate synthetic audio data and train multimodal
• Design model architectures, training schemes, and inference algorithms optimized for hardware and

🎯 Requirements

• Strong mathematical foundation in statistical learning theory
• Deep expertise in foundation model architectures and scaling training across modalities
• Proven ability to bridge theory and practice with efficient implementation
• Demonstrated ability to build data pipelines for massive datasets
• Track record of designing controlled experiments for architectural innovations
• Experience optimizing models for deployment with hardware constraints

🎁 Benefits

• Be part of a leading platform in the Voice AI economy
• Work with advanced AI tools and technologies
• Opportunity to pioneer entirely new approaches in audio AI research
• Collaborate with a fast-paced, innovative team