Vibe - Staff or Senior Machine Learning Engineer
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. • 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.
Responsibilities
• 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. • 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.
Benefits
• 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. • Variable pay • Hybrid flexibility — We're in the Heart of Paris and our team is in 3x a week! • Hybrid flexibility • Health insurance — Full coverage via Alan. • Health insurance • Meal vouchers — Via Swile. • Meal vouchers • Annual offsite — The whole team, once a year, somewhere worth the trip. • Annual offsite • Tech Syncs — Engineering and Product meet in person at least quarterly, worldwide. • Tech Syncs • Our Interview Process • 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. • Recruiter screen • Manager interview — Meet the person you'd work with directly. • Tech Interview — A real problem, not a trick. We'll work through it together. • Tech Interview • Calibration interview — A senior leader joins to ensure we're holding a consistent, high bar. • Calibration interview • Offer — Fast. We don't let good decisions sit. • Offer • Reference checks — Two calls, handled with discretion. • Reference checks • Equal Opportunity
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