Senior ML Engineer

📋 Description Deliver end-to-end ML use cases (recommendations, safety, moderation). Design, train, evaluate, and deploy ML models. Balance speed of delivery with robustness and reliability. Improve ML lifecycle: training, deployment, monitoring. Establish KPIs and monitoring to track model performance. Align models with product and safety objectives. 🎯 Requirements 5+ years in ML/Data with large-scale datasets. Strong expertise in TensorFlow, PyTorch, or JAX. Proficient in Python (data stack). Strong knowledge of neural networks and LLMs. End-to-end ML systems (data to training to deployment to monitoring). Production ML experience, not just research. 🎁 Benefits Flexible remote policy with two office days per month. Health insurance for you and your family. Parental leave and childcare options in France. Support for external events and meetups. Team events and wellness programs. Paris office with hybrid options.