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ML Engineer, Audio

Sandbar · New York City · On Site · Active · Ashby

Job facts

Field	Value
Company	Sandbar
Title	ML Engineer, Audio
Normalized title	-
Department / team	Machine Learning / Machine Learning
Location	New York City, NY, United States
Work model	On Site
Employment type	Full Time
Salary	-
Status	active
ATS provider	Ashby
Posted / first seen	— / 2026-05-29
Changed / last seen	2026-05-29 / 2026-06-06

Related slices

Page	What it contains	Open
Company jobs	Active postings from Sandbar.	Open
Company breakdowns	Role, location, ATS, and work model facets for this company.	Open
ATS provider jobs	Active postings observed through Ashby.	Open
Provider filtered search	The same provider as a filtered job collection.	Open
City jobs	Active postings in New York City.	Open
Department jobs	Active postings in Machine Learning.	Open
Work model jobs	Active On Site postings.	Open
Lifecycle events	Open, update, close, and reopen events for this posting.	Open
Original posting	Canonical source or apply URL captured from the ATS.	Open

Linked records

Company	Sandbar
Source	145432fc-94ee-4c96-b2cf-626711807b89
ATS provider	Ashby

Description

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. 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 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 Company-sponsored 401(k) Unlimited PTO and sick time Early stage equity

Full job record

Job ID	782db48ecad966668e4b7234f00559f2df3250a8
Org ID	8c0e2a08-6b2e-4cb9-99e5-b0bec6f6b9e3
Source ID	145432fc-94ee-4c96-b2cf-626711807b89
Board ID	145432fc-94ee-4c96-b2cf-626711807b89
Provider	ashby
Provider Job Key	84ec6c36-e5d6-4013-8228-17142023a475
Title	ML Engineer, Audio
Normalized Title	—
Status	active
Active	yes
Location Text	New York City
Department	Machine Learning
Team	Machine Learning
Employment Type	full_time
Workplace Type	on_site
Remote Policy	—
Country	United States
Region	NY
City	New York City
Salary Raw	—
Salary Min	—
Salary Max	—
Salary Currency	—
Salary Period	—
Source URL	https://jobs.ashbyhq.com/sandbar/84ec6c36-e5d6-4013-8228-17142023a475
Apply URL	https://jobs.ashbyhq.com/sandbar/84ec6c36-e5d6-4013-8228-17142023a475/application
First Seen At	2026-05-29 05:14:22Z
Last Seen At	2026-06-06 19:21:24Z
Last Checked At	2026-06-06 19:21:24Z
Last Changed At	2026-05-29 05:14:22Z
Inactive At	—
Source Posted At	—
Source Updated At	—
Raw Payload Uri	s3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=sandbar/date=2026-06-06/2026-06-06T19-21-22-871Z-e582ce009a4239457a2974a7b0c048dac7ab861875ab05b6956a2442d45a66ef.json

Event Fields

{
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  "source_hash": "7ca83f4eb0d3bf9a2ea45884ea004062b76815749c3340d664a71fe7fbf4e932",
  "last_changed_at": "2026-05-29T05:14:22.206Z",
  "active_status": "active"
}

Parsed Structured

{
  "language": "en",
  "location": {
    "raw": "New York City",
    "city": "New York City",
    "region": "NY",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.75
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T19:21:24.372Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "New York City",
      "city": "New York City",
      "region": "NY",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.75
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": null,
  "workplace_type": "on_site",
  "salary_currency": null
}

Extensions

{}

Native Structured

{
  "id": "84ec6c36-e5d6-4013-8228-17142023a475",
  "team": "Machine Learning",
  "title": "ML Engineer, Audio",
  "jobUrl": "https://jobs.ashbyhq.com/sandbar/84ec6c36-e5d6-4013-8228-17142023a475",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/sandbar/84ec6c36-e5d6-4013-8228-17142023a475/application",
  "isListed": true,
  "isRemote": false,
  "location": "New York City",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Machine Learning",
  "publishedAt": null,
  "workplaceType": "OnSite",
  "employmentType": "FullTime",
  "secondaryLocations": []
}

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