Description
The Trust team at Airbnb is responsible for developing the technology that helps protect the community and platform from fraud while ensuring hosts, guests, homes, and experiences meet high standards.
As a Senior Machine Learning Engineer on this 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.
Key responsibilities include:
- Collaborating 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.
- Designing, building, and productionizing end-to-end Machine Learning pipelines , including feature engineering, model training, evaluation, and deployment , for both batch and real-time use cases.
- Investigating emerging fraud patterns and threat signals with your teammates, and developing ML-based detections and tools that enable faster, more accurate responses.
- Writing, reviewing, and shipping clean, testable code , whether training a new model, improving an existing pipeline, or optimizing a feature for scalability and reliability.
Requirements include:
- 5–10 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.
This role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity.