Senior Machine Learning Engineer - Identity & Audience

Vibe; Paris; Sur place; 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

Senior Machine Learning Engineer, Identity & Audience

At Vibe.co, we’re reimagining how brands reach audiences in the age of streaming. We believe streaming TV is no longer just a brand awareness play, it’s the next great performance marketing channel. We’re building the infrastructure to unlock this $100B opportunity.

About Vibe

Vibe.co provides an audience‑first streaming TV advertising solution for marketers, combining hyper‑targeted audience segmentation, AI‑powered insights, real‑time campaign optimization, and incrementality measurement, delivering precision and transparency on TV.

About the Role

Data isn’t a support function at Vibe — it’s the fuel. Every decision the platform makes, which ad, to whom, at which moment, runs on it. You’ll join the Data Platform team, which owns Vibe’s data backbone, and specialize in identity: turning every event we observe into an identity we can target, measure, and learn from. The role exists because identity resolution at Vibe’s scale is a genuinely hard problem — billions of events across devices and contexts need models that catch the right signal without drowning in noise. You’ll report to the Head of Data Platform.

The models you develop won’t sit in a notebook: they’ll decide which ad reaches which household, in production, at US scale. You’ll own the identity stack end‑to‑end rather than a slice of it, and you’ll shape a roadmap that Product, Sales, ML, and Finance all depend on.

What You’ll Do

• Design and operate the pipelines that give Vibe a coherent view of users across every data source.
• Own and improve the clustering algorithm that turns raw events into coherent entities like users and households.
• Anticipate scaling pain before it becomes an incident, as log volumes and advertiser usage keep growing.
• Run projects end‑to‑end, from stakeholder requirements through design, implementation, and post‑launch iteration.
• Build platform‑level identity‑resolution tooling so every team can resolve identity for the events they own.
• Choose architectures that scale economically and quantify the cost impact of those choices.

Cross‑Team Partnership

• Shape and execute the roadmap for Vibe’s identity stack.
• Surface tradeoffs, risks, and decisions to stakeholders without burying them in implementation detail.
• Translate ambiguous requests from Product, Sales, ML, and Finance into concrete deliverables.

What You Need

• 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.

Nice to Haves

• Experience in streaming TV advertising or programmatic media.

Our Values

At Vibe, we run on three values: Impact, Ambition, and Urgency. We tie every goal to a real business outcome, think 10x rather than settling for good enough, and move daily rather than waiting for perfect conditions. You’ll thrive here if you own outcomes without needing direction, default to action, and hold yourself to results, not effort. This is a high‑performance environment with high‑performance rewards: you’ll work alongside people who push you, with real ownership over hard problems in a market that’s moving fast.

What We Offer

• Variable pay — based on objectives you hit. No arbitrary targets.
• Hybrid flexibility — We’re in the Heart of Paris and our team is in 3x a week!
• Health insurance — Full coverage via Alan.
• Meal vouchers — Via Swile.
• Annual offsite — The whole team, once a year, somewhere worth the trip.
• Tech syncs — Engineering and Product meet in person at least quarterly, worldwide.

Equal Opportunity

Vibe is an equal opportunity employer. We evaluate all applicants without regard to race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law. We believe the best ideas come from teams with different backgrounds, perspectives, and experiences. If you need a reasonable accommodation during the application or interview process, please let us know.