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TL;DR
Senior Machine Learning Engineer (AI): Building and optimizing search and recommendation models for the Airbnb platform with an accent on query understanding, intent modeling, and LLM integration. Focus on developing scalable, production-grade machine learning pipelines that parse multimodal queries and enhance search relevance.
Company
Airbnb is a global platform connecting millions of hosts and guests through unique stays and experiences.
What you will do
- Develop and improve cutting-edge machine learning models for query understanding, including autocomplete, smart compose, and intent classification.
- Build and productionize end-to-end ML pipelines for both batch and real-time search ranking use cases.
- Collaborate with cross-functional teams to identify business opportunities and refine requirements for ML-driven search features.
- Leverage modern NLP and LLMs to parse free-form multimodal queries and anticipate user intent.
- Optimize model serving and experimentation efficiency to ensure high-performing, low-latency search experiences.
Requirements
- Must be based in the United States in a state where Airbnb has a registered entity.
- 5+ years of industry experience in applied Machine Learning with an MS or PhD in a relevant field.
- Strong programming skills in Scala, Python, Java, or C++.
- Deep understanding of ML best practices, including A/B testing, feature engineering, and model selection.
- Experience with at least three of the following: Tensorflow, PyTorch, Kubernetes, Spark, Airflow, Kafka, or Hive.
- Proven experience building end-to-end machine learning models in a production environment.
Nice to have
- Familiarity with building AI-native and agentic search experiences.
- Exposure to architectural patterns for high-scale software applications.
Culture & Benefits
- Competitive base pay with potential for bonus, equity, and benefits.
- Employee Travel Credits.
- Commitment to an inclusive and diverse work environment.
- Opportunities for occasional office visits and team offsites.
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