About the Company
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
About the Team
The Listing Integrity team’s ultimate goal is to prevent experiences like this by proactively detecting and removing fraudulent listings (Homes, Experiences, and Services) so that guests can search and book on Airbnb with confidence. The team uses data driven heuristics, machine learning models, and customer service operations in order to accomplish this goal.
Responsibilities
- Work with large scale back end systems to detect fraudsters, using rules and connecting to productionalized machine learning models.
- Work collaboratively with cross-functional partners including machine learning engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for fraud detection and mitigation.
- Building out tooling and automation for operations to more effectively reduce fraud.
- Building user challenges to prevent fraudulent listings while reducing good user impact.
- Examples include: location verification user challenges, automating fraud investigation, improving operations tooling, building data pipelines for machine learning, and reducing fraud at scale.
Requirements
- 3+ years of industry experience on building systems at scale, inclusive MS or PhD in relevant fields
- Passion for building user-facing products or large backend systems.
- Experience in any of the following: Ruby/Ruby on Rails, Java, JavaScript, Python, Scala
- Ability to write high performance production quality code
- 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 collaboratively in cross-functional teams with design, product, data science, and research partners.
- Ability to effectively communicate with non-technical stakeholders such as legal and operations.
- Experience with the Trust and Risk domain is a plus.
Conditions
- This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.
- The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.