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
Build scalable GenAI infrastructure to support the fast evolving needs of: Airbnb teams using foundational language / vision models to power next-gen product experiences
Drive expansions of our ML platform to improve the productivity of 200+ ML: Engineers & Data Scientists who rely on us
Create solid data foundations to power the data-driven product features (e.g.: Categories ) that are at the center of Airbnb’s product roadmap by creating scalable human & AI Labeling infrastructure
Use OSS technologies such as Ray, MLFlow, Tensorflow, PyTorch, LangChain,: Airflow, Spark, Docker, Kubernetes, Jupyterhub, etc.
Work side-by-side with customer teams including Customer Support, Search: Relevance, Trust & Safety to deliver high-impact product wins
+ years of industry experience (and/or relevant academic experience)
What they're looking for
- Solid understanding of engineering and infrastructure best practices
- Strong coding skills in Python/Java or equivalent
- Strong Experience and knowledge of distributed systems
- Industry experience building end-to-end Machine Learning Platforms is a plus
