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# Senior Machine Learning Engineer, Query Intelligence

- **Company:** Airbnb
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Software Applications, Architectural Patterns, Artificial Neural Networks, C++ (Programming Language), Encodings, Computer Programming, Information Engineering, Data Warehousing, Apache Hive, Python (Programming Language), Machine Learning, Natural Language Processing, Named Entity Recognition, Tensorflow, Feature Engineering, Pytorch, Large Language Models, Apache Spark, Deep Learning, Kubernetes, Apache Kafka, Feature Extraction, Natural Language Understanding, Data Pipelines, Natural Language Generation
- **Published:** October 22, 2026
- **Apply:** https://www.thejobnetwork.com/job/2618d6ab-79df-4ab9-920d-1d51a8d3e43f/senior-machine-learning-engineer-query-intelligence

## About the Role

- 5+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields.
- Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills.
- 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.
- Experience applying large language models and modern NLP - e.g., sequence tagging/NER, text generation, intent classification, or embedding/representation learning.
- Familiarity with building natural-language, AI-native and agentic search experiences is a plus.
- Exposure to architectural patterns of large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models).

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