ML Engineer, Audio

Sandbar; New York (NY); On-site; USD 170,000 - 240,000; Full time

Benefits offered by this job

Health, vision, and dental benefits

Unlimited PTO and sick time

Early stage equity

Job summary

A tech startup in New York is seeking a skilled machine learning engineer to develop innovative solutions for a new conversational computer. The ideal candidate has over 4 years of experience in machine learning and a strong background in audio modeling, ensuring successful product deployment. The role focuses on optimizing inference pipelines and collaborating with a cross-functional team to enhance user interactions. Competitive compensation of $170K - $240K, alongside excellent benefits, is offered.

Qualifications

• 4+ years in machine learning experience.
• Experience shipping ML-based products required.
• Experience developing audio/voice models required.

Responsibilities

• Develop, evaluate, and deploy audio models.
• Optimize inference pipelines for latency and reliability.
• Collaborate with ML/AI engineers and designers.

Skills

Machine learning

Audio modeling

Human-computer interaction

Job description

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.

About

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.

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 who cares deeply about real-world ML deployment and human-in-the-loop agentic interactions.

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

Qualifications

• 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

FTE Benefits

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

Compensation Range: $170K - $240K