# Staff Machine Learning Engineer, Traffic Intelligence at Airbnb

- Company: Airbnb
- Status: Open
- Workplace: On-site
- Location: United States
- Level: Staff
- Discipline: AI & ML
- Employment: Full-time
- Posted: 2026-08-13
- Skills: Software Engineering
- Apply: https://careers.airbnb.com/positions/8129371?gh_jid=8129371

## Description

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: 
 Our web and API surfaces handle requests from guests and hosts alongside a growing volume of automated agents: AI assistants, crawlers, and scrapers. We build the systems that bring clarity to this traffic, combining in-house ML and vendor signals to decide in real time how to serve billions of daily requests. Anti-bot and anti-scraping detection is our most adversarial mandate, but the wider challenge is full traffic classification: building evaluation frameworks that tell legitimate automation apart from abusive actors, so high-stakes decisions hold up across the fleet.
 The Difference You Will Make: 
 You will architect and maintain Airbnb’s end-to-end traffic classification ML systems, balancing high-performance model deployment with rigorous offline data pipelines. Success is measured by your ability to harden edge-traffic policies—targeting reduced bot-incident MTTM—and by establishing rigorous evaluation practices that ensure foundational signal accuracy and evasion-resistance across the fleet. 
 A Typical Day: 
• Own the complete lifecycle of traffic-scoring models, from problem framing to real-time deployment, managing the adversarial feedback loop to ensure high evasion-resist

More Airbnb roles: https://deviantjobs.com/companies/airbnb