The opportunity
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…
What you'll do
As a machine learning engineer or scientist, your expertise will be pivotal: in developing AI-powered solutions to shape the future of the Airbnb agentic growth platform with cutting-edge AI techniques. You will drive and guide the rest of the engineers to brainstorm, design and develop AI products and features from inception to production.
We're seeking a Senior Staff Engineer who thrives at the intersection of: technical depth , architectural thinking , and mentorship .
You’ll collaborate with cross-functional leaders, build resilient systems: that operate globally at scale, and help evolve the foundational building blocks behind AI-powered growth systems.
AI-Powered Content Generation: Developing agentic capabilities to autonomously create personalized emails, push notifications, Ad copy, and creatives. This significantly scales marketing efforts by enabling more campaigns, greater variant testing, and faster iteration cycles.
ML/AI Orchestration for Decisioning: Utilizing AI to determine the optimal audience, message, channel, and timing for communications. This shifts marketing decision-making to model-driven intelligence, enhancing relevance and minimizing message fatigue. The direct impact is an uplift in engagement rates, conversion, and ultimately, bookings.
Proactive Marketing Analyst Agent: Designing an AI agent that autonomously identifies new marketing opportunities and converts them into executable campaigns. It leverages world knowledge, proprietary Airbnb intelligence, and deep customer profiles. A crucial performance-based feedback loop ensures the system continuously learns from campaign outcomes to refine and improve future recommendations.
What they're looking for
- Work with large scale structured and unstructured data; explore, experiment,: build and continuously improve Machine Learning models and pipelines for Airbnb product, business and operational use cases.
- Work collaboratively with cross-functional partners including product: managers, operations and data scientists, to identify opportunities for business impact; understand, refine, and prioritize requirements for machine learning, and drive engineering decisions.
- Hands-on develop, productionize, and operate ML/AI models and pipelines at: scale, including both batch and real-time use cases.
- Leverage third-party and in-house Machine Learning tools & infrastructure to: develop reusable, highly differentiating and high-performing Machine Learning systems, enable fast model development, low-latency serving and ease of model quality upkeep.
