Senior Staff Machine Learning Engineer, Airbnb

• Educational Background: PhD in Computer Science, Mathematics, Statistics, or related technical field
• Industry Experience: 10+ years of experience in building, testing and shipping AI models and products from inception to production; including 2+ years of experience with GenAI
• Leadership Experience: 10+ years experience leading and guiding machine learning and AI projects that deliver sizable impact as a senior IC
• Technical Proficiency: Deep knowledge and hands-on experience with Machine Learning best practices (eg. training/serving skew minimization, feature engineering, feature/model selection), algorithms (eg. neural networks/deep learning, optimization) and domains (eg. NLP, computer vision, personalization, search and recommendation, marketplace optimization, anomaly detection)

Desirable

• At Airbnb, we’re reimagining how support is delivered at a global scale
• The Community Support Engineering (CSE) team is leading a multi-year transformation—building intelligent, AI-augmented systems that provide timely, personalized, and always-on support experiences for our global community
• The CS Foundations Engineering (CSFE) team powers this mission by delivering robust platforms, reusable systems, and developer-facing infrastructure
• Our tools help agents deliver exceptional service, enable faster product iteration, and support Airbnb’s mission to create a world where anyone can belong anywhere—with help that’s just a moment away
• As a machine learning engineer or scientist, your expertise will be pivotal in developing AI-powered solutions to shape the future of the Airbnb customer experience with cutting-edge AI techniques. You will drive and guide the rest of the engineers to brainstorm, design and develop AI products and features from inception to production
• We're seeking a Senior Staff Engineer who thrives at the intersection of technical depth, architectural thinking, and mentorship
• You’ll collaborate with cross-functional leaders, build resilient systems that operate globally at scale, and help evolve the foundational building blocks behind AI-powered customer support
• Building a unified, platform-native case management system (AirCase), abstracted via Viaduct APIs and replacing legacy CRM systems
• Designing scalable AI workflow orchestration to power agent co-pilot tools and intelligent response automation
• Modernizing our Delivery Management Console (DMC) to include AI powered real-time performance insights, outlier detection, and agent coaching tools
• Establishing shared data foundations to enable AI/ML solutions, feedback loops, and personalization across the support journey
• Delivering next generating matching capabilities (Routing) so incoming customer contacts are matched to the best agents using AI and Intelligence to deliver personalized and differentiated support experiences
• A Typical Day:
• Work with large scale structured and unstructured data; explore, experiment, build and continuously improve Machine Learning models and pipelines for Airbnb product, business and operational use cases
• Work collaboratively with cross-functional partners including product managers, operations and data scientists, to identify opportunities for business impact; understand, refine, and prioritize requirements for machine learning, and drive engineering decisions
• 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
• Collaborate actively with engineers to apply ML / AI in their solutions to help validate ideas and guide to the right outcomes
• Partner with other ML Engineers in foundations engineering to mentor and develop initiative to make ML application a core discipline for non ML engineers