As 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:
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Content moderation (image, text, behavior)
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Recommendation systems and user engagement optimization
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Behavioral detection and trust & safety models
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Emerging use cases such as dynamic pricing and growth optimization
At 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 therefore looking for a Staff ML Engineer to join our Platform Engineering team, reporting directly to Mikael (Head of Platform Engineering).