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Sandbar

ML Engineer, Audio

  • Seen live on Sandbar's site 3 days ago
  • Mid level
Pay
$180k to $250k a year USD
Location
New York City
Open for
11+ days
First seen
Oct 24, 2026
Apply on Sandbar's site (opens in a new tab)

Posting record

No flags

Open 11+ days

The posting's record, oldest first
  1. Sandbar's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Sandbar, so its true age is longer.

Last checked Nov 1, 2026.

How well do you match?

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What the posting discloses

Pay
$180k to $250k a year USD

Not stated: Real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Skills mentioned

About the role

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, a 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

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