• Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases. • Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact. • Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases. • Leverage third-party and in-house Machine Learning tools & infrastructure to develop reusable, highly differentiating and high-performing Machine Learning systems, enable fast model development, low-latency serving and ease of model quality upkeep. • Example projects include: feature platform, model interpretability, hyperparameter optimization, concept drift detection.

• Join Airbnb’s Relevance and Personalization team, where you’ll have a unique opportunity to shape the discovery experience for over 150M global users! • Take the lead on projects that power search and recommendations across the entire Airbnb platform. • Design and deploy state-of-the-art ranking algorithms, deploying robust systems that optimize Airbnb’s most important business goals. • Our team pushes the boundaries of AI and machine learning throughout the search ranking stack, from data pipelines to feature engineering, model innovation, real-time serving, and large-scale experimentation. • Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists.

• Hire, mentor and guide a dynamic team of highly skilled machine learning engineers, fostering their technical growth and professional development. • Proactively take initiatives to drive for outcomes over the scope of the team. • Build relationships and drive alignment with stakeholders within Community Support and across external teams. • Communicate difficult or complex concepts and decisions clearly and effectively with multiple stakeholders across various functions. • Provides critical guidance and input in prioritization over multiple major projects. • Foster rapid development cycles without sacrificing quality, collaborating closely with platform, backend, and frontend engineers to engineer robust ML models and systems that enhance community support initiatives. • Uphold Technical Standards: Conduct thorough design and architecture reviews to continually elevate our standards of technical excellence.

• Contribute to challenging projects • Drive a project from end-to-end that aligns with interests and goals • Collaborate with team members to achieve milestones • Communicate with stakeholders to provide project updates • Participate in the Engineering org and broader Airbnb community