What are the responsibilities and job description for the Senior ML/AI Engineer position at Sandbar?
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.
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.
About
We’re looking for a senior ML/AI Engineer to build Stream, a new conversational interface. As an ML/AI engineer, you will architect, build, and deploy a new interface which spans voice, audio, and agentic control. This role is perfect for someone who cares deeply about real-world ML deployment and low-latency voice interactions.
Responsibilities
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.
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.
About
We’re looking for a senior ML/AI Engineer to build Stream, a new conversational interface. As an ML/AI engineer, you will architect, build, and deploy a new interface which spans voice, audio, and agentic control. This role is perfect for someone who cares deeply about real-world ML deployment and low-latency voice interactions.
Responsibilities
- Design and improve user-facing experiences, including voice, audio, and agentic control.
- Develop, evaluate, and deploy 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 artificial intelligence or machine learning applications
- Experience shipping ML-based products is required
- Experience in large-language models is required
- Experience in audio / voice ML is a major plus
- Comfortable writing production-grade software
- Passion for human-computer interaction
- Health, vision, and dental benefits
- Unlimited PTO and sick time
- Early stage equity
Salary : $170,000 - $240,000