Airbnb, founded in 2007, has grown from hosting three guests in San Francisco to facilitating over 1 billion guest arrivals globally. The Fraud Prevention & Safety team at Airbnb is seeking a Staff Software Engineer to join their mission-critical efforts in maintaining trust and safety across the platform.
As a Staff Software Engineer, you'll be at the forefront of detecting and mitigating both online and offline fraud, ensuring the safety of Airbnb's global community. The role involves building highly available, real-time risk detection services while collaborating with product, data science, and operations teams. You'll be tackling challenges ranging from monetary fraud and compromised accounts to personal safety concerns and property protection.
The position offers an opportunity to work with senior leaders across the technical organization, contributing to the technology vision and development of risk detection systems. You'll be hands-on in developing machine learning models and pipelines at scale, while also mentoring other engineers and driving engineering decisions that impact millions of users worldwide.
The role combines technical leadership with practical engineering, requiring expertise in distributed systems, machine learning, and large-scale applications. You'll be working in a collaborative environment, using technologies like Scala, Python, and Java to build robust solutions that protect Airbnb's community.
This remote position offers competitive compensation ($204,000 - $259,000) and the chance to work on meaningful problems that directly impact user safety and trust. The ideal candidate will bring 9+ years of engineering experience and a strong background in building scalable systems, with the opportunity to shape the future of trust and safety in the sharing economy.