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Senior Machine Learning Engineer, Trust

Airbnb· Trust
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San Francisco, CAFull-timePosted 3w ago

About the role

Senior Machine Learning Engineer on Airbnb's Trust team focused on developing ML solutions to protect the community from fraud and ensure trust in the platform. End-to-end ownership of ML projects from design to production, addressing account takeover, fake accounts, payment fraud, and bot detection.

Responsibilities

  • Collaborate with product managers, data scientists, software engineers, and operations teams to identify opportunities, scope ML solutions, and refine requirements for new or improved Trust models.
  • Design, build, and productionize end-to-end Machine Learning pipelines, including feature engineering, model training, evaluation, and deployment — for both batch and real-time use cases.
  • Investigate emerging fraud patterns and threat signals with teammates, and develop ML-based detections and tools that enable faster, more accurate responses.
  • Write, review, and ship clean, testable code — whether training a new model, improving an existing pipeline, or optimizing a feature for scalability and reliability.
  • Work with large-scale structured and unstructured data to continuously improve ML models for Airbnb product, business, and operational use cases.
  • Participate in code reviews, design discussions, and cross-team collaborations to contribute to a high-quality ML engineering culture.
  • Work closely with trust defense and platform teams to adapt models and systems to an evolving landscape of fraud attacks.

Qualifications

  • 5+ years of industry experience in applied Machine Learning, with a track record of building and productionizing models at scale.
  • Strong programming skills in Python (required) and familiarity with Scala, Java, or equivalent.
  • Solid understanding of Machine Learning best practices — e.g., training/serving skew minimization, A/B testing, feature engineering, model selection — and algorithms such as gradient boosted trees, neural networks, transformers, and deep learning.
  • Experience with ML frameworks and tooling such as TensorFlow, PyTorch, or equivalent.
  • Experience with data engineering and building end-to-end ML pipelines, including both batch and real-time systems.
  • Exposure to architectural patterns of large, high-scale software applications (e.g., well-designed APIs, high-volume data pipelines, efficient algorithms).
  • Experience with test-driven development, incremental delivery, and deployment practices.
  • Exposure to the Trust and Risk domain (e.g., fraud detection, anomaly detection, identity, account integrity) is a plus.
  • A Bachelor's, Master's, or PhD in CS/ML or a related field.

Skills

Required:PythonMachine LearningML FrameworksData Engineering
Nice to have:Scala/Java
Last updated Oct 22, 2026. Interested? Apply on the company site.
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About Airbnb

Book accommodations around the world.

Founded in August of 2008 and based in San Francisco, California, Airbnb is a trusted community marketplace for people to list, discover, and book unique accommodations around the world — online or from a mobile phone. Whether an apartment for a night, a castle for a week, or a villa for a month, Airbnb connects people to unique travel experiences, at any price point, in more than 33,000 cities and 192 countries. And with world-class customer service and a growing community of users, Airbnb is the easiest way for people to monetize their extra space and showcase it to an audience of millions. No global movement springs from individuals. It takes an entire team united behind something big. Together, we work hard, we laugh a lot, we brainstorm nonstop, we use hundreds of Post-Its a week, and we give the best high-fives in town. Headquartered in San Francisco, we have satellite offices in Dublin, London, Barcelona, Paris, Milan, Copenhagen, Berlin, Moscow, São Paolo, Sydney, and Singapore.

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