Sandbar
ML Engineer, Audio
5mo ago
180000 –250000 USD / yearUSASeniormachine learningaudio modelsvoice modelsinference pipelinescloudon-device
Machine learning engineer role focused on developing and deploying audio and voice models for a conversational interface product.
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
Requirements
- 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
Conditions
- Health, vision, and dental benefits
- Company-sponsored 401(k)
- Unlimited PTO and sick time
- Early stage equity
Other
- Sandbar is an interface company in New York City. We aim to augment individuals so we can each think, act, and move more 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 self extension—a private voice ring and conversational interface. Stream has been featured in WSJ, Bloomberg, & Wired, and begins shipping in Summer '26.
- Join us in creating technology that extends human thinking.
- 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.