Voice AI ML Engineer for Real-World Applications

Sandbar; New York (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

Sandbar, an interface company in New York City, is building Stream, a private voice ring and conversational interface, to augment human thinking and action. We seek a machine learning engineer to develop a system spanning voice, memory, and agentic control for real-world ML deployment and human-in-the-loop interaction.

Responsibilities include developing STT/TTS models across cloud and on-device settings, optimizing inference pipelines for latency and reliability, and collaborating with ML/AI

Qualifications

• 4+ years of machine learning experience.
• Experience developing audio/voice models.
• Experience shipping ML-based products.

Responsibilities

• Develop, evaluate, and deploy STT/TTS models spanning cloud models to resource-constrained on-device settings.
• Optimize inference pipelines for latency, reliability, and concurrency.
• Work closely with other ML/AI engineers, infrastructure engineers, designers, and cofounders on existing and future products.

Skills

ML experience

Audio/Voice models

ML deployment

Job description

Sandbar, an interface company in New York City, is building Stream, a private voice ring and conversational interface, to augment human thinking and action. We seek a machine learning engineer to develop a system spanning voice, memory, and agentic control for real-world ML deployment and human-in-the-loop interaction.

Responsibilities include developing STT/TTS models across cloud and on-device settings, optimizing inference pipelines for latency and reliability, and collaborating with ML/AI