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Airbnb

Senior Machine Learning Engineer, Relevance and Personalization

Airbnb
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remote senior full-time $191,000-$225,000 USD United States

First indexed 2 Jul 2026

Description

The Relevance and Personalization team at Airbnb is responsible for search and recommendation across the entire Airbnb digital platform. As a Senior Machine Learning Engineer, you will be a leader in the team working on critical, impactful projects with a focus on developing end-to-end ranking algorithms and ecosystems for optimizing multiple critical business objectives.

You will build cutting-edge AI technologies across the end-to-end search ranking product stack, leveraging rich signals from various types of data. You will collaborate closely with teams across Airbnb to develop the ranking solutions and support a healthy marketplace for hosts and guests to further Airbnb's mission of creating a world where people can Belong Anywhere.

Responsibilities:

  • Work with large-scale structured and unstructured data to build and continuously improve cutting-edge Machine Learning models for Airbnb product, business, and operational use cases.
  • Collaborate with cross-functional partners to identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact.
  • Develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.
  • Leverage third-party and in-house Machine Learning tools and infrastructure to develop reusable, highly differentiating, and high-performing Machine Learning systems.

Requirements:

  • 5+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields.
  • Strong programming skills in languages such as Scala, Python, Java, or C++.
  • Deep understanding of Machine Learning best practices, algorithms, and domains.
  • Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow, Kafka, data warehouse.
  • Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models.

Benefits:

  • The base pay range is $191,000-$225,000 USD.
  • This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://job-boards.greenhouse.io/airbnb/jobs/7258033