Senior Machine Learning Engineer (Query Intelligence)
Confirmed on the employer's own hiring board on Oct 8, 2026. First seen by Alion on Jul 20, 2026. Airbnb scores B on the Alion truth index.
Join Airbnb's Relevance and Personalization team as a Senior Machine Learning Engineer. In this role, you will focus on query intelligence, working on critical projects that enhance search and recommendation across the entire Airbnb platform. You will build cutting-edge AI technologies, develop query understanding capabilities, and collaborate with cross-functional partners. This position offers a range of benefits, including paid volunteer time, health food and snacks, generous parental and family leave, and learning and development opportunities.
Missions
- Concevoir et développer des modèles de machine learning pour améliorer la compréhension des requêtes, y compris l'autocomplétion, la composition intelligente, le marquage des requêtes et l'expansion des requêtes.
- Collaborer avec des partenaires interfonctionnels pour identifier les opportunités d'impact commercial, affiner et prioriser les exigences pour les modèles de machine learning.
- Développer, produire et exploiter des modèles et des pipelines de machine learning à grande échelle, y compris les cas d'utilisation par lots et en temps réel.
Profil recherché
- Exposure to architectural patterns of large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models)- Familiarity with building natural-language, AI-native and agentic search experiences is a plus
- Experience applying large language models and modern NLP - e.g., sequence tagging/NER, text generation, intent classification, or embedding/representation learning
- 5+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields
- Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (eg. neural networks/deep learning, optimization) and domains (eg. natural language processing, personalization, search and recommendation, marketplace optimization)
- Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (eg. Hive)
- Industry experience building end-to-end Machine Learning models
- Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills