Senior ML Engineer

Yubo

1d • Hybrid

About The Position

As Yubo continues to scale, Machine Learning is becoming a core production layer, powering critical systems across safety, recommendations, and product optimization. This role is unique due to 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, and emerging use cases such as dynamic pricing and growth optimization. Our current ML stack is still evolving, with legacy models not fully integrated into pipelines and inconsistent lifecycle management. 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. We are 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.

Requirements

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

Responsibilities

• 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.
• Ensure continuous alignment with product and safety objectives.
• Help improve the reliability and observability of production ML systems.
• Contribute to the evolution of our ML platform through tools, workflows, and reusable components.
• Help establish and promote scalable ML engineering practices across teams.
• Contribute to improving self-service ML capabilities where relevant.
• 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.
• Explore and implement advanced ML approaches where relevant.
• Partner with Data Engineering, MLOps, Backend Platform, and Product teams.
• Act as a bridge between ML, platform, and business stakeholders.
• Provide technical leadership on ML initiatives and help improve engineering practices across teams.
• Share knowledge and help raise the overall ML maturity of the organization.

Benefits

• Highly competitive salary range
• Equity in the company
• Highly flexible remote work policy
• Monthly team events
• Fees for external professional events and meetups covered
• Great health insurance coverage for you and your family by Alan, fully paid for by Yubo
• Numerous benefits for parents: additional parental leave, easy access to nurseries and daycare facilities in France
• Comprehensive health insurance
• Wellness programs
• Sports classes
• Mental well-being initiatives

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed