Software Engineer, Trust

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. 

A Typical Day: 

As an 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. 

• 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.

Your Expertise:

Education & Experience:

• 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

Leadership & Collaboration:

• 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

Your Location:

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. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity . If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. 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.  

Pay Range

$162,000—$186,000 USD