Senior Staff Machine Learning Engineer (Trust)

Join Airbnb as a Senior Staff Machine Learning Engineer in the Trust organization. In this role, you will define and execute the long-term ML technical vision and strategy, serve as a technical leader and mentor, drive large-scale ML initiatives, and work collaboratively with cross-functional partners. You will also hands-on develop, productionize, and operate Machine Learning models and pipelines at scale.

• Collaborer avec les leaders techniques pour concevoir, exécuter et livrer une feuille de route complexe des efforts d'ingénierie de confiance.
• Définir et exécuter la vision technique à long terme de l'apprentissage automatique pour l'organisation Trust, en identifiant les investissements clés et en architecturant des solutions évolutives.
• Servir de leader technique et de mentor pour d'autres ingénieurs en apprentissage automatique et en logiciel, en fournissant des conseils sur des défis architecturaux et de modélisation complexes.
• 2-3+ years working with LLMs and novel GenAI technologies. Proficiency and proven experience on Agentic AI (frameworks, orchestration, architecture and productionization)
• Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization) and domains (eg. genAI, Agentic AI, natural language processing, computer vision, personalization and recommendation, anomaly detection)
• Industry experience building end-to-end Machine Learning and Agentic infrastructure and/or building and productionizing Machine Learning models
• 12+ years of industry experience in applied Machine Learning
• Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills
• A Bachelor’s, Master’s or PhD in CS/ML or related field
• Experience with the Trust and Risk domain is a plus
• Experience with test driven development, familiar with A/B testing, incremental delivery and deployment
• Experience with these technologies: AgenticAI, Tensorflow, PyTorch, Kubernetes,
• Exposure to architectural patterns of a large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models)