The Community You Will Join:Imagine getting off a long international flight, standing in the freezing rain, attempting to contact your Airbnb host, only to realize that they are not responding because the Airbnb that you booked was not real. The Listing Integrity team's ultimate goal is to prevent experiences like this by proactively detecting and removing fraudulent listings (Homes, Experiences, and Services) so that guests can search and book on Airbnb with confidence. The team uses data driven heuristics, machine learning models, and customer service operations in order to accomplish this goal.
The Difference You Will Make:As a Software Engineer on the Listing Integrity team, you will be working with data scientists, designers, product managers, and customer service operations to innovate new ways we can stop bad actors in the ever evolving fraudulent listing creation and financial losses associated with it by collaborating across team boundaries.
On this team, you must have the curiosity to dig deep into various end to end systems in order to understand how and where the fraud occurs. Your curiosity will be rewarded with finding projects that have outsized impacts on decreasing fraud losses and protecting Airbnb users from bad experiences while on vacation.
A Typical Day: - Work with large scale back end systems to detect fraudsters, using rules and connecting to productionalized machine learning models.
- Work collaboratively with cross-functional partners including machine learning engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for fraud detection and mitigation.
- Building out tooling and automation for operations to more effectively reduce fraud.
- Building user challenges to prevent fraudulent listings while reducing good user impact.
- Examples include: location verification user challenges, automating fraud investigation, improving operations tooling, building data pipelines for machine learning, and reducing fraud at scale.
Your Expertise:- 3+ years of industry experience on building systems at scale, inclusive MS or PhD in relevant fields
- Passion for building user-facing products or large backend systems.
- Experience in any of the following: Ruby/Ruby on Rails, Java, JavaScript, Python, Scala
- Ability to write high performance production quality code
- Exposure to architectural patterns of large, high-scale web applications, such as well-designed APIs, high volume data pipelines, and efficient algorithms.
- Experience or desire to work collaboratively in cross-functional teams with design, product, data science, and research partners.
- Ability to effectively communicate with non-technical stakeholders such as legal and operations.
- Experience with the Trust and Risk domain is a plus.
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. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
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
