Senior ML Engineer

📋 Job Overview

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

🏢 About Yubo

Yubo is the instantly social, social app: the leading real-time social discovery platform where you can meet new people for friendship, crushes and community. Our mission is to help young adults find community - whoever they are, wherever they are and whenever they feel social. 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.

🎯 The Role

You will 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.

✅ Key Responsibilities

• Deliver end-to-end ML use cases (recommendation systems, safety algorithms, moderation models, etc.).
• Design, train, evaluate, and deploy ML models where appropriate.
• 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.
• 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.

📌 Required Qualifications

• 5+ years of experience in ML / Data, including work on large-scale datasets.
• 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.
• Explain complex ML topics clearly (strong pedagogy).
• Operate well under ambiguity and can structure complex problems.
• Drive technical decisions and influence stakeholders through expertise and collaboration.

⭐ Desirable Experience

• Experience with recommendation systems and user engagement optimization.
• Experience with behavioral detection and trust & safety models.
• Experience with dynamic pricing and growth optimization.

🎁 Benefits

Competitive

🛂 Visa & Eligibility

Not specified