Software Engineer, Trust

Airbnb

18h•Remote

About The Position

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. The Community You Will Join: At Airbnb, we believe in creating a world where anyone can belong anywhere. The Trust Emerging Defense team is focused on building new products and defenses for new unattended risks and attacks, as well as providing peace of mind to our Airbnb guests and hosts. The Difference You Will Make: Your work on the Emerging Defenses team will directly provide safety and privacy to Airbnb users worldwide. You will be leading a team of engineers and work cross-functionally building toward the safest communication platform. You will be involved in core company launches and build for the future of safe communication regardless of medium: phone, VoIP, SMS, in-app chat, and video conferencing. It will bring privacy and safety to guests and hosts while keeping fraudsters off of the platform.

Requirements

BS/MS/PhD in Computer Science, Machine Learning or a related field (or equivalent industry experience)
2-5 years of experience in software engineering in a fast-paced tech environment
Strong programming skills (Java / Scala / Python / C++ or equivalent) with deep expertise in architectural patterns and designing scalable, fault-tolerant distributed systems in a service-oriented architecture
Exposure to ML or interest in ML
Experience partnering with cross-functional leaders to define product/technical strategy and drive alignment
Work on projects that require extensive collaboration, influencing and decision-making capabilities
Desire to work collaboratively with cross-functional partners, such as design, product, data science, infrastructure, policy, operations, and legal partners

Responsibilities

Build a marketplace of products that ensure safety and privacy of guests and hosts.
Work collaboratively with cross-functional partners, including software engineers, data scientists, product managers, and operations to identify opportunities for business impact, and refine and prioritize requirements for fraud detection and mitigation.
Hands-on develop, productionize, and operate machine learning models and pipelines at scale, including both batch and real-time use cases.
Enhance and extend risk investigation tools to enable efficient decision-making on behaviors that could result in physical safety or property damage incidents.