ML Engineer, Audio
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, is 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
Skills
As published by ashby · 3 questions
Basics
Name, Email, Resume, Location
Short answers (1)
- Phone number optional
Pick from a list (2)
- Are you willing to work in-person in NYC?
- Do you have active US work authorization?