Teams at Acclaim AI

Develop and productionize next-generation multilingual TTS systems using LLM-based architectures. Responsibilities include data collection and curation, text normalization, G2P, model adaptation, post-training, architectural improvements, efficient audio pipelines, and rigorous benchmarking. The role focuses on improving speech quality, robustness, latency, streaming performance, and inference efficiency while collaborating with MLOps and data engineering teams.

Develop and productionize next-generation, multilingual TTS models. Responsibilities include data collection and curation, text normalization and G2P, model adaptation, post-training, architectural improvements, efficient audio pipelines, streaming optimization, and rigorous evaluation. The role requires improving model robustness, latency, and quality while collaborating with MLOps on deployment and independently researching new approaches.

Develop and productionize next-generation multilingual TTS systems using LLM-based architectures. Responsibilities include speech data collection and curation, text normalization and G2P, model adaptation, post-training, architecture improvements, efficient audio pipelines, streaming optimization, and rigorous evaluation. Collaborate with MLOps on deployment while improving model robustness, latency, quality, and inference efficiency.