Staff Software Engineer AI, Platform

Staff Software Engineer AI, Platform

United States

Role overview Application

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:

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.

The Difference You Will Make:

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.

A Typical Day:

• 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

Your Expertise:

• 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
• 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

Your Location:

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. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career Page at careers.airbnb.com, and our recruiters correspond only from Airbnb email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.

Offices: United States