Senior SWE, ML Engineer – Identity & Audience

This is a fully remote position, open to applicants in France.

📋 Description

• Design and manage the pipelines that provide Vibe with a unified perspective of users across all data sources.

• Take ownership of and enhance the clustering algorithm that transforms raw events into organized entities such as users and households.

• Proactively identify potential scaling issues before they escalate into incidents, as log volumes and advertiser usage continue to increase.

• Execute projects from start to finish, encompassing stakeholder requirements, design, implementation, and post-launch iterations.

• Develop identity-resolution tools at the platform level, enabling every team to resolve identities for the events they oversee.

• Select architectures that scale efficiently and assess the cost implications of those architectural decisions.

• Define and implement the roadmap for Vibe's identity stack.

• Present trade-offs, risks, and decisions to stakeholders clearly, avoiding unnecessary technical details.

• Convert vague requests from Product, Sales, ML, and Finance into specific deliverables.

⛳️ Requirements

• Minimum of 5 years of experience as an ML engineer, focusing on building and operating production services.

• Practical experience with a modern orchestrator (e.g., Dagster), distributed computing (e.g., Spark), and large-scale storage solutions (e.g., Iceberg).

• Proven history of managing performance and costs effectively at scale with genuinely large datasets.

• Ability to tailor technical communication for diverse audiences and reconcile stakeholders with competing priorities.

• A strong inclination towards delivering value, with the discernment to know when to develop abstractions and when to maintain simplicity.

• Experience in operating systems in a production environment, not just in prototyping.

🏝️ Benefits

• Variable pay — linked to the objectives you achieve. No arbitrary targets.

• Hybrid flexibility — Our office is located in the Heart of Paris, and our team meets three times a week!

• Health insurance — Comprehensive coverage through Alan.

• Meal vouchers — Provided via Swile.

• Annual offsite — The entire team gathers once a year in a destination worth traveling to.

• Tech Syncs — Engineering and Product teams meet in person at least quarterly, globally.