[Hiring] Senior Machine Learning Engineer @Airbnb

Role Description

As a Senior Machine Learning Engineer on the Trust team, you will actively contribute code and ideas that shape the ML systems protecting millions of Airbnb users. You'll own and deliver ML projects end-to-end — from designing and training models to productionizing and operating them at scale, while collaborating closely with cross-functional partners.

Your work will help reduce risks posed by bad actors while ensuring the platform remains seamless and welcoming for everyone else. As you develop your skills, you'll see the tangible impact of your models, helping real users stay safe and confident as they travel, host, and connect on Airbnb.

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.

Requirements

• 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 your 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.

Company Description