A Day in the Role: - Uncovering Lucrative Business Opportunities: Dive into data and model prototypes to unearth impactful business prospects and articulate challenges into scientific formulations. - Collaborative Model Development: Partner with cross-functional teams, including software engineers, product managers, operations, and research, to refine model requirements, make scientific decisions, and gauge impact. - Hands-On Model Creation and Operations: Develop, streamline, and oversee machine learning models and pipelines at scale, covering both batch and real-time scenarios with structured and unstructured data. - Crafting Scalable Machine Learning Solutions: Establish reusable, high-performing machine learning models using internal tools and cutting-edge innovations, incorporating third-party information for heightened scalability. - Engaging Stakeholders and Tracking Progress: Deliver internal presentations at monthly meetings to technical, engineering, and product stakeholders, refining progress and fostering enthusiasm for roadmap advancements. - External Contributions and Engagement: Publish externally and interact with the scientific community to fortify Airbnb's standing and contribute to industry advancement. Your Skill Set: - Advanced Degree in a Quantitative Field (PhD is advantageous) - Experience in Data Exploration and Model Prototyping - Proficiency in Python and Contemporary Frameworks (e.g., Pytorch, Tensorflow) - Understanding of Machine Learning Techniques and Mathematical Foundations - Collaboration with Software Engineers and Cross-Functional Teams - Effective Communication with Stakeholders of Diverse Technical Backgrounds - Experience in Payments, Risk/Fraud, or Related Fields - Familiarity with Advanced Experimentation Techniques - Competence in Real-Time Model Operationalization