ML Engineer

Yubo 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!

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:

- Content moderation (image, text, behavior)

- Recommendation systems and user engagement optimization

- Behavioral detection and trust & safety models

- 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 Senior ML Engineer to join our Platform Engineering team, reporting directly to Mikael (Head of Platform Engineering).

You will play a key role in delivering ML initiatives across the company, helping turn promising ideas into reliable production systems. You'll work on everything from model development and experimentation to deployment, monitoring, and continuous improvement, while contributing to the evolution of our ML platform and engineering practices

ML Systems & Delivery

ML Lifecycle & Reliability

Platform & Standardization

Legacy & Advanced Use Cases

Cross-functional Collaboration

Our technical environment / ML scope

The recruitment process

• You have 5+ years of experience in ML / Data, including work on large-scale datasets (datasets of hundreds of gigabytes).
• You have strong expertise in modern ML frameworks (TensorFlow or PyTorch or JAX).
• You are highly proficient in Python (data ecosystem).
• You have strong knowledge of neural networks and practical experience with LLM-based systems.
• You understand ML systems end-to-end (data → training → deployment → monitoring).
• You have strong experience in production ML systems, not only research.
• You demonstrate strong product sense and can align models with business needs.
• You are pragmatic and impact-driven, balancing experimentation with delivery.
• You are able to explain complex ML topics clearly (strong pedagogy).
• You operate well under ambiguity and can structure complex problems.
• You are able to drive technical decisions and influence stakeholders through expertise and collaboration.

Our approach to privacy & safety

As part of your role, you may handle tools and features involving personal data. We expect all employees to demonstrate strong awareness of privacy and safety issues, and to actively support our Privacy & Safety by Design efforts.

Join Yubo and help shape the future of Social Discovery while enjoying a culture that values flexibility, well-being, and impact.

Here’s how we live our mission every day:

You own the impact: Step up, adapt, and make it matter

Unconventionally Smart: Hack with intent, borrow smart, build better

Be Bold & Resilient: Raise your head, break barriers, keep moving forward

One team, one mission: No egos, no passengers, just shared wins

Trust & Flexibility: Our hybrid model calls for only two office days a month; the rest is up to the rhythm that works best for you.

Cool Workplace: enjoy our amazing Parisian office and our many hybrid work options

Team Activities: participate in get-togethers, events, and team-building activities

Family-Friendly: we support parents with childcare options and family-friendly policies

Wellness Programs: benefit from comprehensive health insurance, wellness programs, sports classes, and mental well-being initiatives