Senior ML Engineer

📋 Description

• 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

🎯 Requirements

• 5+ years of experience in ML / Data, including work on large-scale datasets (datasets of hundreds
• 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

🎁 Benefits

• A highly competitive salary range as well as equity in the company
• A highly flexible remote work policy, 2 days at the office per month, with monthly team events
• Cover fees for external professional events and meetups (Android Makers, etc.)
• Great health insurance coverage for both you and your family by Alan, fully paid for by Yubo
• Numerous benefits for parents: additional parental leave, easy access to nurseries and daycare