Machine Learning Engineer
Sandbar
Machine Learning Engineer
Sandbar
Wearable AI ring for private dictation
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
Sandbar makes a wearable AI voice interface in the form of a ring called Stream, allowing users to capture notes, chat with an AI, and dictate text. It works by pressing the ring’s touchpad and speaking into a private microphone that only listens when pressed, with gestures to control notes, reminders, and playback, and it can operate with or without earbuds while syncing with iOS and Mac for universal dictation. The product emphasizes privacy and speed by avoiding wake words or always-on mics, using a private mic, tap-to-listen controls, silent haptics, and a ring form with a durable build for a hands-free experience. Its goal is to be a private, hands-free extension of the mind that helps with memory, note-taking, and decision-making without compromising personal data.
Explore more opportunities at Sandbar