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Responsibilities

• Research and build a unified, real-time S peech U nderstanding model — powered by an LLM — that lets the Voice Agent perceive speakers, their state, the environment, and audio content beyond the transcript; prototype agent-awareness behaviors using simulated agents and scripted scenarios.
• Build the Vietnamese data and benchmark foundations: data collection, annotation, and synthetic data, plus a shared evaluation framework that measures real impact on agent behavior, not only model metrics.
• Train, fine-tune, and post-train audio and audio-LLM models (pretraining, SFT, alignment ) and optimize them for low-latency streaming inference.
• Work with the ASR, TTS, Foundation, and Agent teams to integrate models into conversational systems and voice assistants, including demanding in-vehicle conditions.
• Stay current with the research community and contribute new ideas and, where appropriate , publications.
  
  

In this role, you'll join the Speech Understanding team and work across the full loop — data, models, evaluation, and integration into a production Voice Agent. We're looking for people with relevant experience, passion, and drive, ready to learn fast and thrive under pressure.

Requirements

• Bachelor's Degree or higher in Computer Science, Artificial Intelligence, or related fields.
• Minimum 2 years of experience in AI/ML, with a focus on speech and audio (ASR, audio understanding, or related areas) or on audio/multimodal LLMs.
• Proficient in Python and PyTorch, with a strong grasp of Transformers and modern speech/audio models (self-supervised encoders, Whisper-style models, audio-LLMs).
• Hands-on experience training or fine-tuning models — ideally LLMs (SFT, PEFT/LoRA) — and building or evaluating speech datasets.
• Comfortable with open-ended, research-driven problems where the problem definition is still evolving.
• Good English proficiency to read technical documentation and research papers.
  
  

Preferred

• Experience with Vietnamese, multilingual, or code-switching speech.
• Experience with real-time streaming systems or voice agents, and interest in multimodal (voice and vision) agents.
• Publications in top-tier AI/speech conferences (e.g., Interspeech, ICASSP, NeurIPS).