Senior ML Engineer, Identity & Audience — Hybrid Paris

Vibe; Paris; Hybride; EUR 110 000 - 160 000; Plein temps

Avantages offerts par ce poste

Variable pay

Hybrid work in Paris

Health insurance

Meal vouchers

Annual offsite

Tech syncs

Résumé du poste

Vibe.co in Paris is seeking a Senior Machine Learning Engineer to own the identity stack for audience targeting and measurement at US scale. You’ll build production ML services that transform billions of events into coherent identities, shaping platform-wide decisions across product, sales, ML, and finance.

You’ll design scalable pipelines, improve clustering of users and households, anticipate growth, and ship end-to-end projects with cross-team stakeholders.

Qualifications

• 5+ years of experience as an ML engineer building and operating production services.
• Hands-on with Dagster, distributed compute (e.g., Spark), and large-scale storage (Iceberg).
• Track record of optimizing performance and cost at scale with very large datasets.
• Ability to adapt technical communication to different audiences and align stakeholders.
• Bias toward shipping value, knowing when to optimize vs. simplify.
• Experience running systems in production, not just prototyping.

Responsabilités

• Design and operate pipelines that give a coherent view of users across data sources.
• Own and improve clustering that turns events into users and households.
• Anticipate scaling pain before it becomes an incident as usage grows.
• Run projects end-to-end from requirements to post-launch iteration.
• Build platform-level identity-resolution tooling for cross-team use.
• Choose architectures that scale economically and quantify costs.

Connaissances

ML production

Cross-functional collaboration

Stakeholder communication

Cost/perf optimization

Production deployment

Outils

Dagster

Spark

Iceberg

Description du poste

Vibe.co in Paris is seeking a Senior Machine Learning Engineer to own the identity stack for audience targeting and measurement at US scale. You’ll build production ML services that transform billions of events into coherent identities, shaping platform-wide decisions across product, sales, ML, and finance.

You’ll design scalable pipelines, improve clustering of users and households, anticipate growth, and ship end-to-end projects with cross-team stakeholders.