About the role
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 Unlimited PTO and sick time Early stage equity
About Sandbar
Creating Stream, a self-extension for building ideas, and Stream Ring, the mouse for voice.
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Job details
Salary
$170,000 - $240,000
Location
New York, NY
Funding
Total raised
$23M
Last stage
Seed
Investors
What happens next.
No applications, no recruiter spam. Just the intro.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.