ML Engineer, Audio
Sandbar
About the role
About Sandbar
Sandbar is an interface company in New York City. We aim to augment individuals so we can each think, act, and move more freely. Our team has built SW, ML, and HW products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, and Equinox.
Our first product, Stream, is a self extension—a private voice ring and conversational interface. Stream has been featured in WSJ, Bloomberg, & Wired, and begins shipping in Summer '26.
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
Want an insider here?
No Sandbar employee has joined Vochure yet. Tell us you want one and we'll email you if that changes — no referral is promised in the meantime.
Sign up to askTailor your résumé
AIRewrites your existing résumé for this role — reorders and re-words what you already have. It never adds experience you didn't list.
Log in to tailor