ML Engineer, Audio

About Sandbar

Sandbar is an interface company in New York City. We aim to bridge gaps, to better navigate the world around & inside each of us. We believe that technology should act as a self extension that expands human expression. Our team has built consumer software and hardware products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, and Equinox.

Our first product, Stream, is a private voice ring and conversational notepad—covered by WSJ, Bloomberg, Wired, and Fast Company. Join us in creating the future of human-computer interaction.

We’re looking for a machine learning engineer to help build Stream, a new conversational interface. As a machine learning engineer, you will develop a system which spans voice, memory, action taking, and personality, with a deep focus on the end-user experience and human-computer interaction.

• 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

• 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

• Health, vision, and dental benefits
• Unlimited PTO and sick time
• Early stage equity