Staff Engineer • Senior

Who you are

You have extensive experience in software engineering, particularly in building scalable systems that support machine learning workflows. Your background includes a strong focus on data engineering, where you've designed and managed end-to-end data workflows to ensure data integrity and reliability in production. You are proficient in Python and have a solid understanding of machine learning principles, enabling you to collaborate effectively with cross-functional teams including Product, Data Science, and ML Engineering. You thrive in environments where you can prototype new ideas and influence technical strategies, and you are passionate about enhancing user experiences through technology.

Desirable

Experience with real-time serving systems and feature engineering pipelines is a plus. Familiarity with cloud platforms and tools that support machine learning operations will further enhance your fit for this role.

What you'll do

As a Staff Software Engineer at Airbnb, you will lead the technical strategy for the Guidance Serving team, focusing on the development of advanced online and offline serving systems. Your responsibilities will include designing and managing data workflows that support the machine learning lifecycle, ensuring that data is prepared for model training and that data lineage is tracked effectively. You will prototype new ideas that influence the serving strategy and build real-time serving systems that optimize performance and user experience. Collaboration is key in this role, as you will work closely with product managers and data scientists to architect scalable solutions that meet the evolving needs of Airbnb hosts.

What we offer

Airbnb provides a competitive salary range of $204,000—$255,000 USD, along with potential bonuses, equity, and comprehensive benefits. You will have the opportunity to work in a dynamic environment that values innovation and collaboration. We encourage you to apply even if your experience doesn't match every requirement, as we believe diverse teams build better products.