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 the heart of the Airbnb marketplace, connecting guests and hosts, lies the Search organization. The Knowledge Graph team within this organization is responsible for building the infrastructure and data foundation of the graph DB, empowering various product experiences like booking and exploring unique stays. We collaborate across functions to revolutionize the Airbnb product experience and contribute to the company's mission of making everyone feel like they can belong anywhere.

The Difference You Will Make:

Are you excited about shaping the graph database infrastructure at Airbnb? If you have a passion for organizing billions of entities into a unified graph that serves company-wide use cases, then join us! As a senior software engineer in the Knowledge Graph team, you will play a hands-on role in solving challenging yet exhilarating problems related to graph infrastructure and data foundations. We thrive on working across technologies, and we value backgrounds in knowledge graph, graph/search/ML infra, taxonomy management, and location/entity understanding.

A Typical Day: 

• Utilize third-party and in-house infrastructure to create reusable, highly differentiating, and high-performing data and graph systems.
• Apply industry best practices for taxonomy development and knowledge modeling.
• Collaborate with team members and establish close partnerships with other technical organizations at Airbnb.

Your Expertise:

• 5+ years of industry experience
• Expertise in one or more of the following:
  • Knowledge graph
  • Data modeling and taxonomy development
  • Taxonomy / ontology management platform
  • Graph database and data infra
  • Search and applied machine learning
  • Full stack including UX experience
• Hands-on experience with developing, productionizing, and operating structured and unstructured data pipelines at scale, covering both batch and real-time use cases.
• Strong problem-solving, analytical, and critical thinking skills, with the ability to adapt to new challenges and technologies.
• Excellent communication skills and a keenness to learn and share knowledge within the engineering organization.

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. Click here for the up-to-date list of excluded states. 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.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. 

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

How We'll Take Care of You:

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.