Senior SWE / ML Engineer - Identity & Audience

1 мес. назад

FranceEuropeSeniorRemote

machine learningaidata analysis

Senior Machine Learning Engineer role focused on Identity & Audience at .

Обязанности

Data isn't a support function at — 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 '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 '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 tha

Будет плюсом

Experience in streaming TV advertising or programmatic media.

Условия

At , 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.

Как откликнуться

We respect your time. Here's exactly what to expect — no surprises, no ghosting.
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.

Другое

At .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.
.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, .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.
.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, .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.
Design and operate the pipelines that give 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.
Shape and execute the roadmap for '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.
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.
At , 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.
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.
Being referred? Ask your contact to submit your application directly on your behalf.