Top Tech Jobs & Startup Jobs in Chicago, IL

Build and productionize large-scale ML models and pipelines for query understanding and personalization. Work on autocomplete, query tagging/NER, query expansion, intent modeling, and LLM-powered natural-language search. Collaborate cross-functionally to design, deploy, and monitor batch and real-time systems, leveraging modern ML infrastructure and tooling to improve search relevance across Airbnb products.

As a Senior Staff Machine Learning Engineer, you will drive AI product development, collaborate with cross-functional teams, and enhance ML models at scale.

Lead product strategy for AI Personalization, developing AI systems for personalized customer support at Airbnb. Manage the full-stack systems, influence roadmap decisions, and collaborate across teams to optimize performance and user experience.

Own the roadmap and execution for discounts and promotions across Airbnb's marketplace. Design promotional mechanics, build programmatic promotion capabilities, partner with design, engineering, data science, and cross-functional teams, set OKRs, and drive adoption. Use research and analytics to optimize pricing, targeting, and marketplace impact to help hosts increase earnings and improve price competitiveness.

Lead Airbnb's competitive intelligence function: monitor competitors and industry trends, run strategic deep dives, own CI data strategy and vendor relationships, produce executive-ready insights, and enable cross-functional reporting and infrastructure.

The Analyst will manage demand forecasting and capacity planning for contact center services, utilizing advanced analytics and statistical models to optimize resources and meet service objectives. Responsibilities include model design, data analysis, and stakeholder communication.

Lead the vision and execution for scalable data governance and quality across Airbnb. Architect future-proof data ecosystems, define best practices and tooling, drive cross-functional policy implementation (privacy, legal, infosec), mentor senior engineers, and influence executive strategy to embed stewardship into the data product lifecycle.