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Senior ML Engineer

CompraTica Empleos

EMP:Technology
Paris - Full Remote
Tiempo Completo
Remoto
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Descripción

Who we areYubo is the Social Discovery app to make new friends and hang out online.

By eliminating likes and follows, we empower our users to create genuine connections and show up as their true selves.

We've pioneered a new way for Gen Z to socialize online, and with millions of active users, our goal is to redefine how we connect today and tomorrow.

Our team is international, multicultural and deeply committed to its mission.

As the leading platform to socialize online, we have a special responsibility to build a safe digital space for our community.

Safety is embedded in our DNA, and our proactive approach focuses on user protection, support, and education.

Join us in this exciting journey and help us shape the future of social interactions!.

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this roleAs Yubo continues to scale, Machine Learning is becoming a core production layer, powering critical systems across safety, recommendations, and product optimization.What makes this role unique is both the scale and diversity of our data, and the level of maturity we are aiming to reach.We process massive volumes of images, text, and real-time user interactions, across millions of users worldwide, creating a wide range of high-impact ML challenges, including:Content moderation (image, text, behavior)Recommendation systems and user engagement optimizationBehavioral detection and trust & safety modelsEmerging use cases such as dynamic pricing and growth optimizationAt the same time, our current ML stack is still evolving.Legacy models are not fully integrated into pipelines, lifecycle management remains inconsistent, and our approach can sometimes resemble “develop, deploy, and forget.”As ML usage expands across the company, this creates increasing complexity and dependency on reliable, well-structured systems.There is still a huge amount of untapped potential, with many ML use cases yet to be designed, tested, and scaled, but unlocking it requires building a more robust and scalable ML operating model.We are there...

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