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HomeCompaniesExaResearch, ML

Research, ML

Exa · San Francisco, California · On Site · Active · Ashby

Job facts

FieldValue
CompanyExa
TitleResearch, ML
Normalized title-
Department / teamResearch / Research
LocationSan Francisco, CA, United States
Work modelOn Site
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Exa.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Research.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyExa
Sourcea41a85b8-7172-4ac4-ab16-297b0b01a649
ATS providerAshby

Description

We raised a $250M Series C to build the search engine for AIs. Led by a16z, with existing investors Benchmark, Lightspeed, and YC doubling down, the round brings Exa's valuation to $2.2 billion. Read more Exa is building a search engine from scratch to serve every AI agent. We build massive-scale infrastructure to crawl the web, train state-of-the-art embedding models to process it, and design super high performant vector databases in rust to search over it. If you like compute, we also own a $5M H200 GPU cluster (and soon 5x'ing that) and regularly spin up batchjobs with tens of thousands of machines. We are rapidly building the most intelligent search engine in history. We’re high agency, low-ego, and united by the feeling that this is one of the last problems worth getting right . On the ML team, we train foundational models for search. Our goal is to build systems that can instantly filter the world's knowledge to exactly what you want, no matter how complex your query. Basically, put the web into an extremely powerful database. We're looking for an ML Research Engineer to train embedding models for perfect search over the web. The role involves dreaming up novel transformer-based search architectures, creating datasets, creating evals, beating our internal SoTA, and repeat. Desired Experience You have graduate-level ML experience (or are an exceptionally strong undergrad) You can code up a transformer from scratch in PyTorch You like creating large-scale datasets and diving deeply into the data You care about the problem of finding high quality knowledge and recognize how important this is for the world Example Projects Pre-training: Train a hundred billion parameter model Fine-tuning: Build an RLAIF pipeline for search Dream up a novel architecture for search in the shower, then code it up and beat our best model's top score Build an eval system that answers how do we know we're advancing our search quality? (this is an incredibly difficult question to answer) This is an in-person opportunity in San Francisco. We're happy to sponsor international candidates (e.g., STEM OPT, OPT, H1B, O1, E3). In addition to premium healthcare benefits (medical, dental, vision), we also offer fertility benefits and a monthly wellness stipend to all of our employees.

Full job record

Job IDe96c7c4a23f952bb5c7640bbad5a91340c10e7c5
Org ID978b0118-ecbb-43e5-8196-7caeacb44a42
Source IDa41a85b8-7172-4ac4-ab16-297b0b01a649
Board IDa41a85b8-7172-4ac4-ab16-297b0b01a649
Providerashby
Provider Job Keyfcebd301-b473-40dc-b733-362883ac1f37
TitleResearch, ML
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco, California
DepartmentResearch
TeamResearch
Employment Typefull_time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionCA
CitySan Francisco
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/exa/fcebd301-b473-40dc-b733-362883ac1f37
Apply URLhttps://jobs.ashbyhq.com/exa/fcebd301-b473-40dc-b733-362883ac1f37/application
First Seen At2026-05-29 06:34:26Z
Last Seen At2026-06-06 09:26:16Z
Last Checked At2026-06-06 09:26:16Z
Last Changed At2026-05-29 06:34:26Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=exa/date=2026-06-06/2026-06-06T09-25-53-505Z-709b71b576465835af1f2118ca5b64263512606c55097ae510550297cfea65a5.json
Event Fields
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  "last_changed_at": "2026-05-29T06:34:26.068Z",
  "active_status": "active"
}
Parsed Structured
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  "location": {
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  "salary_max": null,
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  "inferred_at": "2026-06-06T09:26:16.775Z",
  "launch_scope": {
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    "included": true,
    "language": "en",
    "location": {
      "raw": "San Francisco, California",
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    ]
  },
  "remote_policy": null,
  "salary_period": null,
  "workplace_type": "on_site",
  "salary_currency": null
}
Extensions
{}
Native Structured
{
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  "team": "Research",
  "title": "Research, ML",
  "jobUrl": "https://jobs.ashbyhq.com/exa/fcebd301-b473-40dc-b733-362883ac1f37",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/exa/fcebd301-b473-40dc-b733-362883ac1f37/application",
  "isListed": true,
  "isRemote": false,
  "location": "San Francisco, California",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Research",
  "publishedAt": null,
  "workplaceType": "OnSite",
  "employmentType": "FullTime",
  "secondaryLocations": []
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/e96c7c4a23f952bb5c7640bbad5a91340c10e7c5?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/978b0118-ecbb-43e5-8196-7caeacb44a42JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/a41a85b8-7172-4ac4-ab16-297b0b01a649JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/e96c7c4a23f952bb5c7640bbad5a91340c10e7c5/eventsJSON