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HomeCompaniesEntravisionMachine Learning Senior Staff Engineer

Machine Learning Senior Staff Engineer

Entravision · NY, US · Active · Cornerstone OnDemand / CSOD

Job facts

FieldValue
CompanyEntravision
TitleMachine Learning Senior Staff Engineer
Normalized title-
Department / team-
LocationNY, United States
Work model-
Employment type-
Salary-
Statusactive
ATS providerCornerstone OnDemand / CSOD
Posted / first seen2026-04-29 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Entravision.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Cornerstone OnDemand / CSOD.Open
Provider filtered searchThe same provider as a filtered job collection.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

CompanyEntravision
Sourceb18669eb-a18f-4ae1-9413-b27bc7cbee0a
ATS providerCornerstone OnDemand / CSOD

Description

About Smadex Smadex is a leading advertising technology company founded in Barcelona in 2010 and sold to American-based and stock-listed Entravision in 2018 (NYSE::EVC). We are one of the top mobile ad-tech companies in the world and the largest Demand Side Platform (DSP) based in Europe, with our revenues over +$100M and consistently growing +40% YoY over the past years. And with an incredible 100% growth last year. The Role: As a Machine Learning Senior Staff Engineer you will be part of all the major architectural decisions and developments we make on our algorithms, especially in our deep neural network algorithms What you will do: You will be responsible for developing new features, measuring the performance and improving our pipelines. Our ML Engineer role combines the classic "ML Scientist" and "Data Engineer" role at other companies You will also play an analytical role researching, designing, implementing, and deploying full-stack scalable data analytics and machine learning solutions to challenge business issues, as well as working closely with our Tech and Ops team You will work on unique modeling challenges not covered in the scientific literature, like extreme positive sample sparsity and labelling delay. Analyze data from different sources and provide actionable insights to business and engineering stakeholders What’s in it for you? Great compensation package tailored to the U.S. market. Career pathing and continued education available Highly engaged leadership to support you in your position and career Opportunity for international travel Comprehensive medical, dental vision benefits 401k matching Summer Fridays Team building events

Full job record

Job ID7b124e2a416ce6cab2eef8ea86dc2cd647651d11
Org ID065fdf8a-4c5e-420b-85b7-df0d7b23b7d2
Source IDb18669eb-a18f-4ae1-9413-b27bc7cbee0a
Board IDb18669eb-a18f-4ae1-9413-b27bc7cbee0a
Providercornerstone_csod
Provider Job Key4991
TitleMachine Learning Senior Staff Engineer
Normalized Title
Statusactive
Activeyes
Location TextNY, US
Department
Team
Employment Type
Workplace Type
Remote Policy
CountryUnited States
RegionNY
City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://entravision.csod.com/ux/ats/careersite/1/requisition/4991?c=entravision
Apply URLhttps://entravision.csod.com/ux/ats/careersite/1/requisition/4991?c=entravision
First Seen At2026-05-29 20:03:46Z
Last Seen At2026-06-06 10:03:03Z
Last Checked At2026-06-06 10:03:03Z
Last Changed At2026-05-29 22:41:12Z
Inactive At
Source Posted At2026-04-29 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=cornerstone_csod/board=entravision/date=2026-06-06/2026-06-06T10-03-02-457Z-d0d13c6cec39fa284010d912b5e1c1d20028f841dcf023c846d7c2d737021b43.json
Event Fields
{
  "content_hash": "82449127515a686d917c05dab9231e03ea2ba628b636322730290f2da0a16c6f",
  "source_hash": "a4ae8b5005f4da2f5a75696e4bfed8db19c6cac0b92752e84bfa5c6611a0ba3f",
  "last_changed_at": "2026-05-29T22:41:12.882Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "NY, US",
    "city": null,
    "region": "NY",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.98
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T10:03:03.312Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "NY, US",
      "city": null,
      "region": "NY",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.98
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": null,
  "workplace_type": null,
  "salary_currency": null
}
Extensions
{}
Native Structured
{
  "locations": [
    {
      "state": "NY",
      "country": "US"
    }
  ],
  "requisitionId": 4991,
  "displayJobTitle": "Machine Learning Senior Staff Engineer",
  "externalDescription": " About Smadex Smadex is a leading advertising technology company founded in Barcelona in 2010 and sold to American-based and stock-listed Entravision in 2018 (NYSE::EVC). We are one of the top mobile ad-tech companies in the world and the largest Demand Side Platform (DSP) based in Europe, with our revenues over +$100M and consistently growing +40% YoY over the past years. And with an incredible 100% growth last year. The Role: As a Machine Learning Senior Staff Engineer you will be part of all the major architectural decisions and developments we make on our algorithms, especially in our deep neural network algorithms What you will do: You will be responsible for developing new features, measuring the performance and improving our pipelines. Our ML Engineer role combines the classic \"ML Scientist\" and \"Data Engineer\" role at other companies You will also play an analytical role researching, designing, implementing, and deploying full-stack scalable data analytics and machine learning solutions to challenge business issues, as well as working closely with our Tech and Ops team You will work on unique modeling challenges not covered in the scientific literature, like extreme positive sample sparsity and labelling delay. Analyze data from different sources and provide actionable insights to business and engineering stakeholders What’s in it for you? Great compensation package tailored to the U.S. market. Career pathing and continued education available Highly engaged leadership to support you in your position and career Opportunity for international travel Comprehensive medical, dental vision benefits 401k matching Summer Fridays Team building events ",
  "postingEffectiveDate": "4/29/2026",
  "postingExpirationDate": "-"
}
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