Senior Machine Learning Engineer - Identity & Audience

Reposted Yesterday
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Hiring Remotely in Paris, Île-de-France, FRA
Remote or Hybrid
Senior level
AdTech • Marketing Tech • Design
The all-in-one platform to drive measurable ROI with Streaming TV Advertising. Trusted by 10,000+ performance marketers.
The Role
Own and scale Vibe's identity stack: design pipelines, improve clustering to resolve users/households from event data, operate production ML services at US scale, manage cost/performance tradeoffs, run end-to-end projects, and partner cross-functionally to deliver identity-resolution tooling.
Summary Generated by Built In
Senior ML 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 about which ad reaches which household, and when, runs on it. You'll join the Data Platform team and specialize in identity: turning billions of raw events into coherent, usable entities that power targeting, measurement, and the training sets our models learn from. You'll report to [Manager Name], [Manager Title]. This role exists because identity resolution at our scale is a hard, unsolved problem, and we need someone who can build models that catch the right signal across petabytes of events. You'll get direct, measurable impact — your work decides which ad reaches whom and whether it worked, not a metric buried in a research paper. You'll shape the roadmap for a system every team at Vibe depends on. And you'll work on a problem that only gets more interesting as CTV scales.

What You'll Do

Identity Stack Ownership

  • Research and build algorithms that resolve coherent entities like users and households from billions of events.

  • Turn machine learning, clustering, and statistical approaches into scalable, production-ready systems.

  • Lead projects end-to-end, from stakeholder requirements through research, implementation, and post-launch iteration.

  • Build platform-level identity-resolution tooling so every team can resolve identity behind their own events.

  • Design for scale from the start; treat unscalable local tests as unfinished work.

Cross-Team Partnership

  • Help 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.

  • Collaborate with other ML engineers on MLOps problems.

What You Need
  • 5+ years of experience as an ML engineer or data scientist building and operating production services.

  • Experience operating at data scale, using tools like Dagster, Spark, or Iceberg.

  • Familiarity with MLOps tooling and practices.

  • A track record of leading technical projects end-to-end, from ambiguous requirements to shipped systems.

  • Strong cross-functional communication skills: you can adjust detail level for your audience and push back constructively.

  • Judgment about when to invest in abstraction and when to keep things simple.

Nice to Haves
  • Experience in streaming TV advertising or programmatic advertising.

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

Pour les candidats basés en France, la rémunération est déterminée en fonction du marché local.

Chez Vibe, nous voulons que vous construisiez quelque chose, possédiez quelque chose, et progressiez vite. Voici comment nous le prouvons :

  • 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

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

  1. Recruiter screen — 30 min. We'll share context; you'll share yours.

  2. Manager interview — Meet the person you'd work with directly.

  3. Take-home assignment + live debrief — A real problem, not a trick. We'll work through it together.

  4. Calibration interview — A senior leader joins to ensure we're holding a consistent, high bar.

  5. Offer — Fast. We don't let good decisions sit.

  6. 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.

Referral Instructions

Being referred? Ask your contact to submit your application directly on your behalf.

Skills Required

  • 5+ years of experience as an ML engineer building and operating production services
  • Hands-on experience with a modern orchestrator (e.g., Dagster)
  • Hands-on experience with distributed compute (e.g., Spark)
  • Hands-on experience with large-scale storage (e.g., Iceberg)
  • 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
  • Bias toward shipping value; judgment about abstractions vs. simplicity
  • Experience running systems in production, not just prototyping
  • Experience in streaming TV advertising or programmatic media

Vibe.co Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vibe.co and has not been reviewed or approved by Vibe.co.

  • Healthcare Strength Comprehensive medical, dental, and vision insurance is offered as part of the standard package. This provides a strong baseline of core health coverage.
  • Leave & Time Off Breadth Unlimited paid time off is included and positioned as a way to recharge. Paid parental leave is also part of the time-off offering.
  • Retirement Support A 401(k) plan with company matching is included in the benefits lineup. This adds a long-term financial support component beyond cash compensation.

Vibe.co Insights

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The Company
HQ: New York, NY
152 Employees
Year Founded: 2022

What We Do

Vibe.co is the all-in-one self-serve platform built for performance marketers who want to turn Streaming TV into a true growth channel. Trusted by over 10,000+ performance-driven brands, Vibe brings digital precision, transparency, and measurable ROI to Connected TV advertising. Designed for results, not impressions, Vibe helps advertisers drive real performance across metrics like CPA, ROAS, and conversions. Powered by proprietary transactional data, Vibe delivers hyper-targeted TV campaigns with the same accuracy and personalization you expect from Instagram ads—but on the biggest screen in the home. Vibe gives marketers seamless access to the entire streaming TV ecosystem through one simple, intuitive interface. No agencies, no delays, no middlemen. Just full control, instant activation, and performance you can measure. Integrated with leading marketing tools like Klaviyo, Segment, HubSpot, Triple Whale, and Northbeam, Vibe connects your customer data to TV in real time for smarter attribution and optimization. Backed by $80M in funding, Vibe is redefining how modern marketers scale with TV, turning a traditional brand channel into a high-performing, self-serve growth engine. Get started today on https://vibe.co

Why Work With Us

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.

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