Airbnb

Lead a team of ML engineers to research, design, and optimize AI models and services for customer support products, focusing on improving the end-to-end experience for guests and hosts. This role involves managing ML teams, developing large-scale ML models, and shipping AI-powered products.

Machine Learning Engineer focused on search and recommendation at Airbnb, developing end-to-end ranking algorithms and ecosystems for optimizing business objectives. The role involves building AI technologies across the product stack, from data pipelines to serving, and productionizing ML models at scale.

Product Manager for Airbnb's Relevance and Personalization team, focusing on AI systems that connect guests to listings and personalize the travel experience. The role involves setting strategy, driving roadmap execution, and partnering with ML engineers and researchers to ship products at global scale.

Staff Data Scientist at Airbnb focused on Guest & Host marketplace optimization, ranking, and AI-powered search experiences. The role involves building and shipping customer-facing features, developing causal inference models, and creating scalable data products for ranking and personalization. It requires expertise in machine learning, causal inference, and collaboration with ML Engineers and Product teams to launch and evaluate AI-driven improvements.

Product Manager role focused on shipping AI-powered features for guest-facing quality merchandising on Airbnb. This involves defining requirements for generative AI and ML ranking systems, partnering with Data Science to evaluate model performance, and ensuring trust and quality in the marketplace. The role requires a strong understanding of AI/ML outputs and translating them into product decisions, with a focus on consumer products and global scale.

Senior Staff Machine Learning Engineer at Airbnb focused on Communication & Connectivity, architecting and implementing advanced ML solutions including recommendation engines, ranking systems, intent detection models, and LLM integrations for customer-facing products. The role involves shaping ideas from inception to production and leading ML, Data, and Product engineers.