ML Engineer, Audio
About this 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 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
Frequently Asked Questions
What is the salary for the ML Engineer, Audio role at sandbar?
Where is the ML Engineer, Audio position at sandbar located?
Is the ML Engineer, Audio role at sandbar full-time or part-time?
Which team or department does the ML Engineer, Audio at sandbar belong to?
How do I apply for the ML Engineer, Audio position at sandbar?
When was the ML Engineer, Audio job at sandbar posted?
You'll be redirected to sandbar's official application page on Ashby ATS.