Senior Machine Learning Engineer - Identity & Audience

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

• Meal vouchers — Via Swile.

Senior Machine Learning Engineer, Identity & Audience

About Vibe

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.

Vibe.co provides an Audience First Streaming TV Advertising solution for marketers to unlock TV as a growth channel. Our all-in-one solution combines hyper-targeted audience segmentation, AI-powered insights and recommendations, real-time campaign optimization, and incrementality measurement, giving brands of all sizes the precision and transparency they've come to expect from social and search, but on TV.

Trusted by over 10,000 brands, Vibe.co reaches more than 120 million households across 500+ apps and channels, delivering an average 250% return on ad spend and 20% sales lift. The company hit a $100 million revenue run rate in under two years, ranking among the ten fastest software companies to reach that milestone.

Vibe.co's investors include Hedosophia (an early backer of Spotify, Uber, and Airbnb), Elaia, Singular, QuantumLight (Revolut CEO Nik Storonsky's fund), and Illusian (Supercell CEO Ilkka Paananen's fund), as well as angel investors including Carolyn Everson, board member of The Walt Disney Company and Coca-Cola. Nirav Tolia, CEO of Nextdoor, sits on the company's board of directors.

Founded in 2022, Vibe.co is widely recognized as the category-defining platform in streaming TV advertising, bringing the power of Meta and Google-style performance marketing to the fastest-growing segment in media.

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.

This 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 will 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

Identity Stack Ownership

• 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.

If that sounds like the best version of your career, we want to meet you.

What We Offer

At Vibe, we want you to build something, own something, and grow fast. Here's how we back that up:

• 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.

Our Interview Process

• Recruiter screen — 30 min. We'll share context; you'll share yours.
• Manager interview — Meet the person you'd work with directly.
• Tech Interview — A real problem, not a trick. We'll work through it together.
• Calibration interview — A senior leader joins to ensure we're holding a consistent, high bar.
• Offer — Fast. We don't let good decisions sit.
• Reference checks — Two calls, handled with discretion.

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.