ML Engineer, Audio
Requirements at a glance
ML Engineer, Audio at Sandbar is a full-time role based in New York City. The posting mentions 4+ years of experience. It does not mention visa sponsorship. Key skills include Machine learning. Applications are submitted through Ashby.
- Experience
- 4+ years (mentioned)
- Visa sponsorship
- Not mentioned in the posting
- Application platform
- Ashby
Skills in this posting
- Machine learning
Extracted automatically from the job description. Confirm details in the full posting below.
About Sandbar
Sandbar is an interface company in New York City. We aim to expand human thinking. Our team has built software, ML, hardware, and consumer products across Meta, CTRL-labs, Apple, Peloton, and Equinox.
Our first product is Stream, is private voice ring that extends your thinking. Stream has been featured in WSJ, Bloomberg, Wired, and Time's Best Inventions of the Year.
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