ML Engineer, Audio at Sandbar (New York, NY)
Sandbar· New York, NY·
Role details
Job description
About Sandbar
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.
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
Why work at Sandbar
- Mission-Driven & Cutting-Edge: The opportunity to work on a genuinely new computing paradigm—a conversational interface that could fundamentally change how people interact with technology in their daily lives.
- Talent Density & Pedigree: The team is small (16 people) but composed of engineers and operators from top-tier companies like Meta, Apple, Peloton, and Equinox, offering a high-velocity, high-impact environment.
- Full-Stack & Multi-Disciplinary: Engineers and designers work across a wide stack (hardware, firmware, software, ML, AI) on challenging real-time problems.
- Culture: The company describes itself as "small," with a focus on speed, iteration, and craft. The founders are active and visible, sharing the company’s technical philosophy publicly.
- Location & Flexibility: The company is headquartered in New York City (HQ) with a presence in Germany. While office presence is implied (hardware development), there is a distributed element to the team. Perks or specific policy (remote/hybrid) are not explicitly stated but are likely high-flexibility given the small team and talent profile.