Senior ML Engineer, Identity & Audience — Production-Scale

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

Avantages offerts par ce poste

Meal vouchers

Health insurance

Hybrid work model

Annual offsite

Résumé du poste

Vibe.co is hiring a Senior Machine Learning Engineer focused on Identity & Audience. You’ll join the Data Platform team, turning events into a scalable identity framework to target, measure, and learn from audiences.

You’ll own the identity stack end-to-end, shaping a roadmap that Product, Sales, ML, and Finance depend on. In production, you’ll design pipelines, improve clustering of users and households, and manage performance and cost at scale.

Qualifications

• 5+ years of experience as an ML engineer building and operating production services.
• Hands-on experience with a modern orchestrator (e.g. Dagster), distributed compute (e.g. Spark), and large-scale storage (e.g. Iceberg).
• A track record of managing performance and cost at scale with genuinely large datasets.
• Demonstrated ability to adapt technical communication to different audiences and align stakeholders with conflicting priorities.
• A bias toward shipping value, with judgment about when to build abstractions and when to keep things simple.
• Experience running systems in production, not just prototyping them.

Responsabilités

• Identity Stack Ownership: Design and operate pipelines for a coherent view of users across data sources.
• Identity Stack Ownership: Own and improve the clustering algorithm turning events into users/households.
• Identity Stack Ownership: Anticipate scaling pains before incidents as data grows.
• Identity Stack Ownership: Run end-to-end projects from requirements through design, implementation, and post-launch iteration.
• Identity Stack Ownership: Build platform-level identity-resolution tooling for cross-team usage.
• Identity Stack Ownership: Choose architectures that scale economically and quantify cost impact.
• Cross-Team Partnership: Shape and execute the roadmap for the identity stack.
• Cross-Team Partnership: Surface tradeoffs and decisions to stakeholders without implementation detail.
• Cross-Team Partnership: Translate requests from Product, Sales, ML, and Finance into deliverables.

Connaissances

5+ years ML experience

Dagster

Spark

Iceberg

Production systems

Stakeholder comms

Shipping value focus

Outils

Dagster

Spark

Iceberg

Description du poste

Vibe.co is hiring a Senior Machine Learning Engineer focused on Identity & Audience. You’ll join the Data Platform team, turning events into a scalable identity framework to target, measure, and learn from audiences.

You’ll own the identity stack end-to-end, shaping a roadmap that Product, Sales, ML, and Finance depend on. In production, you’ll design pipelines, improve clustering of users and households, and manage performance and cost at scale.