Senior ML Engineer

Paris - Full Remote · 5+ years experience · Full-time · Remote · Posted Oct 13, 2026

At a glance

As Yubo continues to scale, Machine Learning is becoming a core production layer, powering critical systems across safety, recommendations, and product optimization.
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.

Deliver end-to-end ML use cases (recommendation systems, safety algorithms, moderation models, etc.).
Design, train, evaluate, and deploy ML models where appropriate.
Balance speed of delivery with robustness and reliability.
Drive improvements across the ML lifecycle (training, deployment, monitoring, iteration).
Establish KPIs and monitoring standards to track model performance over time.
Contribute to the evolution of our ML platform through tools, workflows, and reusable components.
Take ownership of legacy models and realign them with current business needs.
Improve, retrain, and integrate them into modern pipelines.
Contribute to best practices around LLM usage in moderation, recommendation, and other product domains.
Partner with Data Engineering, MLOps, Backend Platform, and Product teams.

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.

Highly competitive salary range as well as equity in the company
Flexible remote work policy, 2 days at the office per month, with monthly team events
Cover fees for external professional events and meetups
Great health insurance coverage for both you and your family by Alan, fully paid for by Yubo
Additional parental leave
Easy access to nurseries and daycare facilities in France
Wellness programs, sports classes, and mental well-being initiatives