At Airbnb, our mission is to create a world where anyone can belong anywhere. We use Machine Learning extensively to create a more connected, empowered, and safer global community and enable an intelligent & worry-free travel experience.
🏢 About Airbnb
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 Role
In this role, you’ll help us build a suite of tools which together form the foundation with which ML & AI is created at Airbnb. You will contribute to creating a scalable shared platform that accelerates the pace of Machine Learning design & development and the deployment of impactful, high-quality ML use cases company-wide. You’ll also join us in creating the GenAI infrastructure that will make AI the center of our business.
✅ Key Responsibilities
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 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
📌 Required Qualifications
9+ years of industry experience (and/or relevant academic experience)
Solid understanding of engineering and infrastructure best practices
Strong coding skills in Python/Java or equivalent
Strong Experience and knowledge of distributed systems
⭐ Desirable Experience
Industry experience building end-to-end Machine Learning Platforms is a plus
Experience developing and productionizing machine learning models is a plus
Experience with Kubernetes, Spark, Docker, Airflow is a plus
🎁 Benefits
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.
🛂 Visa & Eligibility
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.
