About Sandbar

Sandbar is an interface company in New York City. We aim to bridge gaps, to better navigate the world around & inside each of us. Our north star is self extension.

Our team has built consumer products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, and Equinox.

Our first product, Stream, is a new way to capture thoughts—a private voice ring and conversational notepad.

Stream has been featured in WSJ, Bloomberg, Fast Company, and Wired, and begins shipping in Summer '26.

About

We’re looking for a machine learning engineer to help build Stream, a new conversational interface. As a machine learning engineer, you will develop a system which spans voice, memory, action taking, and personality, with a deep focus on the end-user experience and human-computer interaction.

Responsibilities

• Develop, evaluate, and deploy audio 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 in machine learning experience

• Experience shipping ML-based products is required

• Experience developing audio / voice models is required

• Passion for human-computer interaction

FTE Benefits

• Health, vision, and dental benefits

• Unlimited PTO and sick time

• Early stage equity

Compensation Range: $170K - $240K