Senior ML Engineer — Identity & Audience (Streaming TV)

Vibe

Paris

On-site

EUR 99,000 - 171,000

Full time

14 days+

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Benefits offered by this job

Equity plan
Variable pay
Hybrid flexibility
Health insurance
Meal vouchers
Annual offsite
Tech syncs

Job summary

Vibe is seeking a data-driven ML engineer to own the identity stack, turning billions of events into coherent, usable signals that power targeting, measurement, and model training across the platform. You will design and implement scalable, production-ready systems that affect every team's ability to reach the right households at the right moment.

Reporting to the Head of Data Platform, you will shape the roadmap, lead end-to-end projects, collaborate with Product, Sales, ML and Finance, and

Qualifications

  • 5+ years of experience as an ML engineer or data scientist building production services.
  • Experience operating at data scale, using tools like Dagster, Spark, or Iceberg.
  • A track record of leading technical projects end-to-end, from ambiguous requirements to shipped systems.

Responsibilities

  • Own identity stack, research and build coherent entities from billions of events.
  • Turn ML, clustering, and statistical approaches into scalable production systems.
  • Lead end-to-end projects from requirements through post-launch iteration.
  • Build platform-level identity-resolution tooling for other teams.
  • Design for scale from the start; avoid unscalable local tests.

Skills

ML engineering
Data science
Dagster
Spark
Iceberg

Tools

Dagster
Spark
Iceberg

Job description

Vibe is seeking a data-driven ML engineer to own the identity stack, turning billions of events into coherent, usable signals that power targeting, measurement, and model training across the platform. You will design and implement scalable, production-ready systems that affect every team's ability to reach the right households at the right moment.

Reporting to the Head of Data Platform, you will shape the roadmap, lead end-to-end projects, collaborate with Product, Sales, ML and Finance, and

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