Airbnb Machine Learning Engineer Offline Risk 

United States 

202656312

As an engineer on the Offline Risk team, you help keep Airbnb users safe by working across diverse teams and systems to enable sophisticated safety strategies. You are eager to understand complex systems top to bottom and thrive working across technologies and codebases. Your contributions take a variety of shapes:

• Architecting powerful end-to-end user products to keep Airbnb community safe
• Building novel machine learning models to detect risk or help human make decision
• Developing scalable, real-time risk detection into Airbnb services
• Working with cross-functional teams with design, product, data science, and research partners to drive engineering decisions

Projects:

• Improve and extend the fraud investigation tools used by Airbnb operations. These tools aggregate and display data from across Airbnb’s internal systems, and enable our operations team to make accurate, efficient decisions on potentially fraudulent transactions, fake accounts, and more.
• Develop machine learning models to detect risk that informs product decisions
• Create products to deter bad actors off of Airbnb and to restrict their usage
• Provide and educate guest and host safety standards and mitigate vulnerabilities

Minimum Requirements:

• 2+ years industry experience
• Experience with Java / Scala is preferred
• Passion for delivering products end-to-end, from ideation through planning and scoping to implementation and experimental A/B testing
• Exposure to architectural patterns of large, high-scale web applications, such as well-designed APIs, high volume data pipelines, and efficient algorithms
• Experience or desire to work on machine learning algorithms and end-to-end model development
• Experience or desire to work collaboratively in cross-functional teams with design, product, data science, operations, and research partners

Offices: United States