ML Engineer, Audio

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. About 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. 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 who 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 Compensation Range: $170K - $240K #J-18808-Ljbffr Sandbar