Machine Learning Engineer, Offline Risk

Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 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.

What is Trust at Airbnb?

Over two million people stay on Airbnb every night 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.

About the Offline Risk Team on Trust

The Offline Risk team is dedicated to creating the safest travel platform. We spend our effort on keeping the Airbnb community safe from risks in the physical world and upholding the community expectation around safety. Recently, we launched several initiatives including manual review of reservation, underaged user restriction, security deposit, real-time risk detection model at booking time, and NLP model for user reviews. The team operates in diverse tech stacks and across organizations and functions. 

 

What is a Software Engineer on the Offline Risk team?

As an engineer on the Offline Risk team, you help keep Airbnb users safe by working across diverse teams and systems to enable sophisticated safety strategies. You are eager to understand complex systems top to bottom and thrive working across technologies and codebases. Your contributions take a variety of shapes:

• Architecting powerful end-to-end user products to keep Airbnb community safe
• Building novel machine learning models to detect risk or help human make decision 
• Developing scalable, real-time risk detection into Airbnb services
• Working with cross-functional teams with design, product, data science, and research partners to drive engineering decisions

Projects:

• Improve and extend the fraud investigation tools used by Airbnb operations. These tools aggregate and display data from across Airbnb’s internal systems, and enable our operations team to make accurate, efficient decisions on potentially fraudulent transactions, fake accounts, and more.
• Develop machine learning models to detect risk that informs product decisions
• Create products to deter bad actors off of Airbnb and to restrict their usage
• Provide and educate guest and host safety standards and mitigate vulnerabilities

 

Minimum Requirements:

• 2+ years industry experience
• Experience with Java / Scala is preferred
• Passion for delivering products end-to-end, from ideation through planning and scoping to implementation and experimental A/B testing
• 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 on machine learning algorithms and end-to-end model development
• Experience or desire to work collaboratively in cross-functional teams with design, product, data science, operations, and research 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. 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.

 

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 strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. 

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$153,000—$184,900 USD