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