Senior Machine Learning Engineer, Relevance and Personalization (Query Intelligence)

The Relevance and Personalization team at Airbnb is responsible for search and recommendation across the entire Airbnb digital platform. In this role, you'll focus on query intelligence, working on critical projects that turn what a guest types, taps, or says into a precise understanding of their intent.

You'll build cutting-edge AI technologies across the end-to-end search ranking product stack, leveraging rich signals from various types of data and increasingly large language models at Airbnb. You'll work collaboratively with cross-functional partners to develop ranking solutions and support a healthy marketplace for hosts and guests.

Responsibilities:

• Work with large-scale structured and unstructured data to build and improve cutting-edge Machine Learning models for Airbnb product, business, and operational use cases.
• Develop query understanding capabilities, including autocomplete and smart compose, query tagging, query expansion, and query/user intent modeling.
• Collaborate with cross-functional partners to identify opportunities for business impact, understand and refine requirements for machine learning models, and drive engineering decisions.
• Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale.

Requirements:

• 5+ years of industry experience in applied Machine Learning.
• Strong programming skills in languages such as Scala, Python, Java, or C++.
• Deep understanding of Machine Learning best practices, algorithms, and domains.
• Experience with technologies such as Tensorflow, PyTorch, Kubernetes, Spark, Airflow, or Kafka.
• Industry experience building end-to-end Machine Learning models.
• Experience applying large language models and modern NLP.

Benefits:

• Competitive salary ($200,000-$235,000 USD).
• Bonus and equity eligibility.
• Comprehensive benefits package.
• Employee Travel Credits.