Staff Software Engineer, Trust & Safety

The Community You Will Join

Everyone at Airbnb thinks about trust but our team obsesses over it daily. The Trust Engineering organization is responsible for protecting our community and platform from fraud and abuse while also ensuring our hosts guests homes and experiences meet our high standards. This includes both foundational systems that power detection and enforcement at scalesuch as rules engines risk services and friction frameworksas well as applied solutions that address evolving threats like account compromise payment fraud fake content and offline harm.

Trust engineers work across a diverse landscape of systems and problem spaces partnering closely with product data science and operations teams. Whether building real-time infrastructure onboarding and screening flows or scalable tools for trust agents the mission remains the same: to make Airbnb the most trusted community in the world.

The Difference You Will Make

As part of the Trust Engineering team you will be in charge of designing large-scale systems to detect and mitigate fraud abuse and safety risks across our platform. You will be deeply involved in building highly available and real-time risk detection services in close collaboration with product data science and operations teams to understand ever-evolving attack vectors. Youll also work closely with other Trust engineerswhether focused on defense or platformto build tools and frameworks that make our defenses more adaptive efficient and resilient.

There are still many unsolved problems in both online and offline trust and were looking for talented engineers to solve these challenges with us and help shape the future of trust at Airbnb.

A Typical Day

Your contributions may take a variety of forms including:

• Designing implementing and operating resilient and scalable distributed systems.
• Collaborating with cross-functional partnersincluding software engineers product managers data scientists and operations teamsto understand business impact define requirements and drive engineering decisions.
• Building and evolving platform capabilities to address the ever-changing landscape of fraud abuse and safety risks across Airbnb.
• Partnering with teams across Trust Payments and Community Support to identify and implement system improvements that increase the reliability scalability and efficiency of our defenses.
• Contributing critical input to the Trust Engineering roadmap and long-term technical direction.
• Developing productionizing and operating machine learning models and pipelines at scale for both batch and real-time use cases.
• Mentoring other engineers and helping them grow their technical and collaboration skills.
• Advocating for and contributing to improvements in Airbnbs engineering processes and foundational systems.

Your Expertise

• 9 years of industry engineering experience.
• BS/MS/PhD in Computer Science a related field or equivalent work experience
• Strong programming (Scala / Python / Java/ C or equivalent) and data engineering skills
• Hands on experience leading project teams and setting technical direction.
• Exposure to architectural patterns of a large high-scale software applications (e.g. well-designed APIs high volume data pipelines efficient algorithms models)
• Experience with test driven development familiar with A/B testing incremental delivery and deployment.
• Experience with platform architecture patterns and best practices. Experience with building and leading infrastructure is a plus.
• Experience with the Trust and Risk domain is a plus.
• Experience with hands on machine learning model development is a plus.

Required Experience:

Staff IC