Senior Staff Machine Learning Engineer, Trust

The role

You will define and execute the long-term ML technical vision and strategy for the Trust organization. You will build and operate Machine Learning models and pipelines at scale to protect the community from fraud.

What you will do

• Define and execute the long-term ML technical vision and strategy for the Trust organization
• Serve as a technical leader and mentor to other ML and software engineers
• Drive and deliver large-scale, multi-quarter ML initiatives
• Work with large scale structured and unstructured data
• Build and continuously improve cutting edge Machine Learning models
• Work collaboratively with cross-functional partners
• Develop, productionize, and operate Machine Learning models and pipelines at scale

Required qualifications

• 12+ years of industry experience in applied Machine Learning
• 2-3+ years working with LLMs and novel GenAI technologies
• Proficiency and proven experience on Agentic AI (frameworks, orchestration, architecture and productionization)
• A Bachelor’s, Master’s or PhD in CS/ML or related field
• Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills
• Deep understanding of Machine Learning best practices
• Deep understanding of algorithms (gradient boosted trees, neural networks/deep learning, optimization)
• Deep understanding of domains (genAI, Agentic AI, natural language processing, computer vision, personalization and recommendation, anomaly detection)
• Experience with AgenticAI, Tensorflow, PyTorch, Kubernetes
• Industry experience building end-to-end Machine Learning and Agentic infrastructure and/or building and productionizing Machine Learning models
• Exposure to architectural patterns of a large, high-scale software applications
• Experience with test driven development, A/B testing, incremental delivery and deployment

Nice to have

• Experience with the Trust and Risk domain

Benefits

• Bonus
• Equity
• Benefits
• Employee Travel Credits

About the company

Airbnb has over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. The Trust team is responsible for developing the technology that helps protect the community and platform from fraud.