ML Engineer, Audio
AI Summary
A machine learning engineer to design, evaluate, and deploy audio and voice models for a conversational computer, optimizing inference pipelines and collaborating closely with ML, infrastructure, and design teams.
About this 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
Skills
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