Senior Machine Learning Engineer, Trust
Core
Design and build end-to-end ML systems to detect fraud, protect user accounts, and ensure platform safety for hosts and guests.
Role type
Senior IC machine learning engineer (fraud detection & trust)
Builds
Real-time and batch ML pipelines for fraud detection, account integrity, and risk mitigation
Domain
Travel marketplace, fraud detection, cybersecurity
Deliverable
production ML models
Required skills
Python, machine learning pipelines, feature engineering, model training and evaluation, A/B testing, gradient boosted trees, neural networks, transformers, deep learning, TensorFlow, Pytorch, data engineering, large-scale software architecture, test-driven development
Preferred skills
Trust and risk domain experience (fraud detection, anomaly detection, identity, account integrity)
Technologies
TensorFlow, PyTorch
Responsibilities
Collaborate with cross-functional teams to scope ML solutions and refine requirements; Design, build, and productionize end-to-end ML pipelines for batch and real-time use cases; Investigate emerging fraud patterns and develop ML-based detection tools; Write, review, and ship clean, testable code for model training and pipeline optimization; Work with large-scale structured and unstructured data to improve models; Participate in code reviews and design discussions; Adapt models and systems to evolving fraud attack landscapes
Seniority
Senior, hands-on IC
