Senior Machine Learning Engineer - Identity & Audience

Job description

SENIOR ML ENGINEER, IDENTITY & AUDIENCE ABOUT VIBE At Vibe.co http://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 http://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 http://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 http://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 http://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? 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