Senior ML Engineer - Identity & Audience (Production-Scale)

Vibe, Inc.

Paris

Hybride

EUR 120 000 - 190 000

Plein temps

14 jours+
Générateur de candidature

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Avantages offerts par ce poste

Variable pay
Hybrid flexibility in Paris
Health insurance - Alan
Meal vouchers - Swile
Annual offsite
Tech Syncs

Résumé du poste

Vibe.co is seeking a Senior Machine Learning Engineer to own and advance the identity stack, turning events into targetable identities and scalable models. You will build production-grade ML systems, manage cost, and collaborate across Product, Sales, ML, and Finance to deliver measurable impact.

The role demands 5+ years of experience, hands-on use of Dagster, Spark, and Iceberg, and a track record of running large-scale systems in production.

Qualifications

  • 5+ years of experience as an ML engineer building and operating production services.
  • Hands-on experience with Dagster, Spark, and Iceberg at scale.
  • Experience running systems in production and managing performance and cost.

Responsabilités

  • Design and operate identity pipelines to view users across data sources.
  • Own and improve clustering to form users and households.
  • Scale systems to billions of events and maintain production reliability.
  • Shape the identity stack roadmap with stakeholders.
  • Collaborate with Product, Sales, ML, and Finance to translate needs into deliverables.

Connaissances

Production ML systems
Dagster
Apache Spark
Iceberg
Cost optimization
Cross-team communication
Production experience

Outils

Dagster
Apache Spark
Iceberg

Description du poste

Vibe.co is seeking a Senior Machine Learning Engineer to own and advance the identity stack, turning events into targetable identities and scalable models. You will build production-grade ML systems, manage cost, and collaborate across Product, Sales, ML, and Finance to deliver measurable impact.

The role demands 5+ years of experience, hands-on use of Dagster, Spark, and Iceberg, and a track record of running large-scale systems in production.

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