Voice AI Research Engineer — Real-Time, Low-Latency Onsite

Acceler8 Talent; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Equity

Job summary

Acceler8 Talent is seeking a Research Engineer to join a frontier AI research lab focused on real-time conversational voice systems. The role emphasizes building ultra-low latency streaming and full-duplex speech architectures, turning research into production capabilities.

You will prototype speech foundation models, advance cascaded ASR → LLM → TTS pipelines, and help shape evaluation frameworks for conversational quality and social presence.

Qualifications

• Experience researching speech foundation models or voice AI systems.
• Hands-on training, fine-tuning, evaluating, and benchmarking speech models.
• Experience with streaming or low-latency speech systems.
• Exposure to full-duplex conversational models such as Moshi, PersonaPlex, or similar research is desirable.
• Publications at leading speech, audio, or ML conferences are advantageous.
• Strong ML research background with ability to translate research into production.

Responsibilities

• Research and prototype ultra-low latency streaming and full-duplex speech systems.
• Develop speech foundation models, including cascaded (ASR → LLM → TTS) architectures.
• Improve conversational behaviors including turn-taking and interruption handling.
• Train, fine-tune, benchmark, and evaluate state-of-the-art speech models.
• Design evaluation frameworks measuring conversational quality and social presence.
• Collaborate with researchers building multimodal and voice foundation models.

Skills

Speech foundation models

Low-latency streaming

Production-ready ML systems

Publications (ICASP / Interspeech / Ne

Full-duplex models

Research-to-production translation

Tools

Moshi

PersonaPlex

Job description

Acceler8 Talent is seeking a Research Engineer to join a frontier AI research lab focused on real-time conversational voice systems. The role emphasizes building ultra-low latency streaming and full-duplex speech architectures, turning research into production capabilities.

You will prototype speech foundation models, advance cascaded ASR → LLM → TTS pipelines, and help shape evaluation frameworks for conversational quality and social presence.