Machine Learning Engineer - Team Search (F/N/H)
Core
Design, maintain, and deploy ML services to personalize and improve the search experience for millions of users on Leboncoin.
Role type
Senior Machine Learning Engineer (Search & Recommendation)
Builds
Personalized search results, auto-completion features, and scalable ML pipelines for the Leboncoin platform.
Domain
E-commerce / Information Retrieval / Recommendation Systems
Deliverable
production ML models
Required skills
Python, PyTorch or TensorFlow, production ML model deployment, Machine Learning fundamentals, Deep Learning, LLM/GenAI application, ML engineering best practices (testing, CI/CD, code reviews), autonomous learning, team collaboration
Preferred skills
AWS, Information Retrieval, Recommendation systems, low-latency ML at scale, MLflow, Kubeflow, Airflow, KServe, Kubernetes, ML platform tooling improvement
Technologies
Python, PyTorch, TensorFlow, AWS, MLflow, Kubeflow, Airflow, KServe, Kubernetes
Responsibilities
Implement and A/B test new search personalization signals and model architectures; experiment with alternative technologies to improve iteration speed and performance; develop and maintain ML pipelines for automation, fault tolerance, and observability; refactor auto-completion systems to handle typos and acronyms; proactively identify ML solutions for user problems; contribute to cross-cutting data science topics and share best practices.
Seniority
Senior, hands-on IC
