ML Engineer, Audio

About Sandbar

Sandbar is an interface company in New York City. We aim to augment individuals in an agentic world-to think, act, and move 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 new human-agent interface-a private voice ring and conversational computer. Stream has been featured in WSJ, Bloomberg, & Wired, and begins shipping in Summer '26.

Join us in creating a new interface for self augmentation.

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 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
Company-sponsored 401(k)
Unlimited PTO and sick time
Early stage equity