Home › Companies › Nuance Labs › Research Scientist - MLLM Training
Research Scientist - MLLM Training
Nuance Labs · Seattle, Washington · Deleted · Greenhouse
Job facts
| Field | Value |
|---|---|
| Company | Nuance Labs |
| Title | Research Scientist - MLLM Training |
| Normalized title | - |
| Department / team | Research |
| Location | Seattle, WA, United States |
| Work model | - |
| Employment type | - |
| Salary | - |
| Status | deleted |
| ATS provider | Greenhouse |
| Posted / first seen | 2026-02-24 / 2026-05-29 |
| Changed / last seen | 2026-06-06 / 2026-06-04 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Nuance Labs. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Greenhouse. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Seattle. | Open |
| Department jobs | Active postings in Research. | 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 | Nuance Labs |
| Source | 4d06c175-4ee5-4cda-ad2e-cc1de78b9519 |
| ATS provider | Greenhouse |
Description
About Nuance Labs
Nuance Labs is an early-stage deep tech startup. We’re building the first real-time human foundation model — unifying text, speech, and vision — to make AI socially and emotionally intelligent. Imagine an AI that can understand a quirked eyebrow, a shift in tone, or a hesitant pause, and respond in a way that feels truly human.
This is for you, if
Have a PhD (or equivalent experience) in training multimodal large language models (MLLMs), autoregressive architectures, or related fields, with a track record of pushing the research frontier
Know deep learning inside out and can run the whole ML pipeline, from data wrangling and rapid prototyping to large-scale training, benchmarking, and evaluation
Love blank-page problems, chart your own course, and make progress without waiting for someone to hand you a task list
Move quickly from research breakthroughs to practical, real-world applications
Write code that’s clean enough your future self will thank you for
Play well with other brilliant minds from different domains
What you’ll be building
The first human foundation model that operates across text, speech, facial expression, and body language in real time. This unified model:
Understands fine-grained human signals — from a quirked eyebrow to a subtle change in voice — and infers meaning in context
Generates lifelike, responsive avatars whose expressions, gestures, and tone evolve frame-by-frame to deliver genuine responses
The landscape is ripe for innovation. While voice AI systems have made great strides in capturing prosody, and avatar platforms can generate compelling visuals, existing solutions remain fragmented. Real-time, multimodal interaction — where voice, facial expression, and contextual perception converge — is still an unsolved problem. This role offers the rare opportunity to shape foundational technology in a space where the boundaries are still being defined.
Why this team
We’re research scientists who’ve spent years advancing AI avatar and audio-visual generation — publishing at top conferences and shipping ultra-low-latency ML products to millions. We combine frontier research with the ruthless engineering needed for consumer-grade, real-time systems.
Nuance Labs Key Facts
$10M seed round backed by Accel, South Park Commons, Lightspeed, and top angels including Synthesia’s former CPO.
A world-class team of PhDs from MIT, UW, and Oxford with decades of industry experience at Apple and Meta, advancing real-time avatars from cutting-edge research to products used by millions.
In-person collaboration, 5 days a week at Seattle HQ
Full job record
| Job ID | 7daa6458db84bbcc6b049b9cd88a5c2d124ed4a9 |
| Org ID | b5cad4e8-d3e2-423b-934c-3898f78ddee7 |
| Source ID | 4d06c175-4ee5-4cda-ad2e-cc1de78b9519 |
| Board ID | 4d06c175-4ee5-4cda-ad2e-cc1de78b9519 |
| Provider | greenhouse |
| Provider Job Key | 4140919009 |
| Title | Research Scientist - MLLM Training |
| Normalized Title | — |
| Status | deleted |
| Active | no |
| Location Text | Seattle, Washington |
| Department | Research |
| Team | — |
| Employment Type | — |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | WA |
| City | Seattle |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://job-boards.greenhouse.io/nuancelabs/jobs/4140919009 |
| Apply URL | https://job-boards.greenhouse.io/nuancelabs/jobs/4140919009 |
| First Seen At | 2026-05-29 22:58:00Z |
| Last Seen At | 2026-06-04 11:13:16Z |
| Last Checked At | 2026-06-06 20:12:12Z |
| Last Changed At | 2026-06-06 20:12:12Z |
| Inactive At | 2026-06-06 20:12:12Z |
| Source Posted At | 2026-02-24 19:58:41Z |
| Source Updated At | 2026-02-27 05:25:41Z |
| Raw Payload Uri | s3://bluework-jobs-prod-raw-590183727216/raw/provider=greenhouse/board=nuancelabs/date=2026-06-04/2026-06-04T11-13-16-728Z-1ab1834db07c993f3be22fd29938ed9c3453ed06db3b75514a1cf97698e73917.json |
Event Fields
{
"content_hash": "e80c640606a391801e5731e7039e3a2135caaa1f302d267ded7057febdccdc4c",
"source_hash": "e2fef786a930b66e5c9c1100f4a7481af707baac6fa65371e67291c568552fe1",
"last_changed_at": "2026-06-06T20:12:12.228Z",
"active_status": "deleted"
}Parsed Structured
{
"language": "en",
"location": {
"raw": "Seattle, Washington",
"city": "Seattle",
"region": "WA",
"country": "United States",
"is_remote": false,
"confidence": 0.85
},
"salary_max": null,
"salary_min": null,
"inferred_at": "2026-06-04T11:13:16.876Z",
"launch_scope": {
"reason": "english_us_canada",
"included": true,
"language": "en",
"location": {
"raw": "Seattle, Washington",
"city": "Seattle",
"region": "WA",
"country": "United States",
"is_remote": false,
"confidence": 0.85
},
"countries": [
"United States"
]
},
"remote_policy": null,
"salary_period": null,
"workplace_type": null,
"salary_currency": null
}Extensions
{}Native Structured
{
"title": "Research Scientist - MLLM Training",
"offices": [
{
"id": 4030799009,
"name": "Seattle",
"location": null,
"child_ids": [],
"parent_id": null
}
],
"language": "en",
"location": {
"name": "Seattle, Washington"
},
"metadata": [],
"updated_at": "2026-02-27T00:25:41-05:00",
"departments": [
{
"id": 4031247009,
"name": "Research",
"child_ids": [],
"parent_id": null
}
],
"company_name": "Nuance Labs",
"requisition_id": 4092463009,
"first_published": "2026-02-24T14:58:41-05:00",
"application_deadline": null
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/7daa6458db84bbcc6b049b9cd88a5c2d124ed4a9?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/b5cad4e8-d3e2-423b-934c-3898f78ddee7JSONGET https://api.bluedoor.sh/job-postings/v1/sources/4d06c175-4ee5-4cda-ad2e-cc1de78b9519JSONGET https://api.bluedoor.sh/job-postings/v1/jobs/7daa6458db84bbcc6b049b9cd88a5c2d124ed4a9/eventsJSON