Senior Manager, Field Operations, Americas, Services
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.The Community You Will JoinEveryone at Airbnb thinks about trust, but our team obsesses over it daily. At the core of trust is safety, and thus we spend a significant amount of our time and energy keeping the community safe. The Trust team is responsible for protecting our community and platform from fraud while also ensuring our hosts, guests, homes, and experiences meet our high standards. We constantly work to fight against online fraud (such as monetary loss, compromised accounts, spam and scam in messages, fake inventory, etc.) as well as offline fraud (theft, property damage, personal safety, etc.). We also work on onboarding and screening of users, and think about complex topics like identity and reputation to ensure that every interaction with Airbnb helps build trust in us and our community. Trust Engineering is responsible for the technology vision and development of a complex stack that runs on every key interaction on the platform.The Difference You Will MakeAs a senior technical individual contributor, you will partner closely with our senior leaders across the broader technical organization. Although you will be at one of our highest levels of seniority, all individual contributors at Airbnb are Software Engineers which means we expect you to be hands on and contribute code.A Typical DayYour contributions take a variety of shapes:
Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases.
Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact.
Work closely with other trust defense and platform teams to tackle the changing landscape of fraud attacks.
Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.
Examples include: Anomaly detection models, ML models for continuous risk evaluation.
Similar Remote Jobs
Senior Manager, Field Operations, Americas, Services
Posted on: 23-01-2025 00:00
$20/H Wayfair Work From Home Job (Part Time Remote)
Posted on: 23-01-2025 00:00
Engineering Jobs Wayfair $25Hr
Posted on: 23-01-2025 00:00
Wayfair Warehouse Jobs ? Part Time $25/Hour
Posted on: 23-01-2025 00:00
Wayfair Part Time Remote Jobs (Multiple Location)
Posted on: 23-01-2025 00:00
Wayfair Work From Home [Entry Level/Remote] $32/Hour ? Apply Now
Posted on: 23-01-2025 00:00
Xfinity Field Sales Consultant-Bryan/College Station
Posted on: 23-01-2025 00:00
Wayfair Part Time Remote Jobs (Multiple Location)
Posted on: 23-01-2025 00:00
Community Growth Manager (contract)
Posted on: 23-01-2025 00:00
Senior Marketing Associate - Physical Retail
Posted on: 23-01-2025 00:00
Remote Customer Service Opportunity - Flexible Hours & Pay Up to 19 Per Hour
Posted on: 16-11-2024 19:14
Mail Distribution Operator
Posted on: 24-01-2025 00:00
Remote Digital Fraud Representative (Overnight)
Posted on: 17-02-2025 05:59
Sr. Data Analyst-Remote
Posted on: 20-01-2025 06:19
SAP S4 HANA Project Management
Posted on: 20-01-2025 06:20
Entry Level Sales | Work from Home | Flexible Schedule
Posted on: 13-09-2024 00:00
Remote Live Chat Support Jobs From Home
Posted on: 29-08-2024 00:00
Summer 2025 Graduate Intern, Criminal Law Reform Project
Posted on: 22-11-2024 05:35
Data entry remote
Posted on: 18-09-2024 00:00
Part Time Administrative Assistant - Remote
Posted on: 16-07-2024 18:50