Sandbar
AI & Machine LearningDirect Ashby career site

ML Engineer, Audio

Location
New York City, NY · On-site
Job type
Full-time
Level
Mid-level
Experience
4+ years
Listed
23 days ago

Skills & highlights for this role

  • STT/TTS models
  • ML deployment
  • inference optimization

Also useful

  • human-computer interaction
  • agentic systems

Stated benefits & perks

  • Health
  • Dental
  • Vision
  • 401k match
  • Unlimited pto

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

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.

Read the original posting

From Sandbar's careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

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Common questions

Where is the ML Engineer, Audio job at Sandbar located?

This ML Engineer, Audio position at Sandbar is located in New York City, NY (On-site). Always check Sandbar's application page for specific state eligibility or relocation policies.

What qualifications are required for ML Engineer, Audio at Sandbar?

For the ML Engineer, Audio role, Sandbar highlights 4+ years of relevant experience; experience with STT/TTS models, ML deployment, inference optimization. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the ML Engineer, Audio position at Sandbar?

This listing links directly to Sandbar's Ashby application page. You can apply directly on Sandbar's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.