ML Engineer, Audio
Sandbar · New York City
Extracted from the posting
ML engineer developing and deploying STT/TTS models, from cloud to resource-constrained on-device settings, and optimizing inference for latency and concurrency. Works with ML, infrastructure, design, and cofounders. Requires 4+ years ML experience and audio/voice model experience.
About Sandbar
Sandbar is an interface company in New York City. We aim to expand human thinking. Our team has built software, ML, hardware, and consumer products across Meta, CTRL-labs, Apple, Peloton, and Equinox.
Our first product is Stream, a private voice ring that extends your thinking. Stream has been featured in WSJ, Bloomberg, Wired, and Time's Best Inventions of the Year.
Join us in creating technology that extends human thinking.
About
We’re looking for a machine learning engineer to help build Stream, a new conversational computer. As a machine learning engineer, you will develop a system which spans voice, memory, and agentic control. This role is perfect for someone cares deeply about real-world ML deployment and human-in-the-loop agentic interactions.
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
Qualifications
- 4+ years machine learning experience
- Experience developing audio / voice models is required
- Experience shipping ML-based products is required
- Passion for human-computer interaction
FTE Benefits
- Health, vision, and dental benefits
- Company-sponsored 401(k)
- Unlimited PTO and sick time
- Early stage equity
Compensation: $180K - $250K
