Over two million people use Airbnb every month and the Trust Engineering team keeps our hosts and guests safe and supported throughout the entire Airbnb experience.
As part of the Trust Engineering team you will be in charge of designing and building scalable and robust systems to detect and mitigate fraud across our entire platform. You will be deeply involved in the technical details of building highly available and real-time risk detection services in close collaboration with product, data science and operations teams to understand ever evolving attack vectors and to keep Airbnb a safe and trusted community.
There are still many unsolved problems to tackle in both online and offline risk, and we're looking for talented engineers to solve these challenges with us.
The following experience is relevant to us:
Full stack engineering experience, with strong system fundamentals
Strong industry experience in architecture and development of scalable production quality backend systems
Good understanding of distributed systems, data stores, data modeling, indexing and associated trade-offs
Ability to work in a cross-functional team that touches many parts of the core systems at Airbnb
Experience working on classification problems is a plus, e.g. payment fraud, text/sentiment classification, or spam detection
Machine learning, pattern recognition, large-scale data mining or artificial intelligence experience is a plus, but not required
Quarterly employee travel coupon
Paid time off
Medical, dental, & vision insurance
Life insurance and disability benefits
Flexible Spending Accounts
Community Involvement (4 hours per month to give back to the community)
Company sponsored tech talks and happy hours
Founded in August of 2008 and based in San Francisco, California, Airbnb is a trusted community marketplace for people to list, discover, and book unique accommodations around the world — online or from a mobile phone. Whether an apartment for a night, a castle for a week, or a villa for a month, Airbnb connects people to unique travel experiences, at any price point, in more than 33,000 cities and 192 countries.