Senior SWE / ML Engineer - Identity & Audience
Role details
Job location
Tech stack
Job description
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., 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.
Requirements
- 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.