Airbnb is a global online marketplace that connects people looking for accommodation with hosts offering unique and diverse lodging options, often in residential properties. Users can book spaces ranging from one-bedroom apartments to entire homes and boutique hotels. Airbnb also offers experiences, allowing guests to book activities hosted by locals, providing an authentic travel experience.
travel accommodations β’ collaborative economy β’ hospitality
February 28
πΊπΈ United States β Remote
π΅ $204k - $259k / year
β° Full Time
π΄ Lead
π§βπ» Full-stack Engineer
π¦ H1B Visa Sponsor
Airbnb is a global online marketplace that connects people looking for accommodation with hosts offering unique and diverse lodging options, often in residential properties. Users can book spaces ranging from one-bedroom apartments to entire homes and boutique hotels. Airbnb also offers experiences, allowing guests to book activities hosted by locals, providing an authentic travel experience.
travel accommodations β’ collaborative economy β’ hospitality
β’ Your work on the Emerging Defenses team will directly provide safety and privacy to Airbnb users worldwide. β’ You will be leading a team of engineers and work cross-functionally building toward the safest communication platform. β’ 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. β’ It will bring privacy and safety to guests and hosts while keeping fraudsters off of the platform. β’ As a staff engineer in Trust, your contributions will span a variety of shapes: Build a marketplace of products that ensure safety and privacy of guests and hosts. β’ Provide technical vision and support other engineers' growth. β’ 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. β’ Hands-on develop, productionize, and operate machine learning models and pipelines at scale, including both batch and real-time use cases. β’ Enhance and extend risk investigation tools to enable efficient decision-making on behaviors that could result in physical safety or property damage incidents.
β’ BS/MS/PhD in Computer Science, Machine Learning or a related field (or equivalent industry experience) β’ 10+ years of experience in software engineering in a fast-paced tech environment β’ 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 β’ Exposure to ML or interest in ML β’ Proven experience partnering with cross-functional leaders to define product/technical strategy and drive alignment β’ Experience leading large-scale, multi-team, multi-platform projects that require extensive collaboration, influencing and decision-making capabilities β’ Strong technical leadership with the ability to mentor engineers and set technical direction for the team β’ Desire to work collaboratively with cross-functional partners, such as design, product, data science, infrastructure, policy, operations, and legal partners β’ Passion to level-up those around you through curiosity and fostering a collaborative and inclusive team environment.
β’ This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Apply NowFebruary 28
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