Note: The job is a remote job and is open to candidates in USA. Airbnb is a global community-driven travel platform focused on helping hosts and guests connect through stays and experiences. The Senior Machine Learning Engineer will build, productionize, and operate machine learning systems that protect Airbnb users and the platform from fraud, including account takeover, fake accounts, payment fraud, and bot activity. The role involves end-to-end model development, large-scale data processing, and collaboration with product, engineering, data science, fraud intelligence, and operations teams.
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 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
Skills
- 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
- A Bachelor's, Master's, or PhD in CS/ML or a related field
- This position is US - Remote Eligible
- While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity
- Exposure to the Trust and Risk domain (e.g., fraud detection, anomaly detection, identity, account integrity) is a plus
Benefits
- US - Remote Eligible
- The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.
Company Overview
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