Staff Data Scientist

Summary

Join Airbnb's AirCover Data Science team as an AI expert and contribute to building scalable scientific solutions for fraud detection, intent detection, evidence collection, product optimization, issue routing, and customer journey summarization. Collaborate with engineers, product managers, designers, and operations specialists. Develop, productionize, and operate machine learning models using various techniques. Regularly present work internally and externally. This US-remote eligible position requires 9+ years of experience and a Master's or PhD in a relevant field.

Requirements

• 9+ years of relevant industry experience (e.g. ML scientist, tech lead, junior faculty) and a Master’s degree or PhD in relevant fields
• Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse
• Deep understanding of Machine Learning lifecycle best practices (eg. training/serving, feature engineering, feature/model selection, labeling, A/B test), algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization) and domains (eg. natural language processing, computer vision, personalization and recommendation, anomaly detection)
• Proficiency with LLMs and/or related AI, NLP, CV, UGC/content understanding topics including deep learning, information retrieval, or knowledge extraction. For example, BERT, GPT, LLaMA, Mistral
• Comfort to collaborate with software engineers to understand complex systems and abstracted logs, proven ability to communicate clearly and effectively to audiences of varying technical levels

Responsibilities

• Develop accurate, agile, and explainable fraud detection systems to guard platform quality and protect guests and hosts
• Detect intents across various entry points with large-scale unstructured data using NLP methods
• Collect evidence from images and receipts to gauge monetary value of the request leveraging computer vision
• Optimize presentation of AirCover products through designing thoughtful user segmentation and personalization
• Route high-complexity issues to agents with personalized strategy, incorporating user history and agent performance
• Summarize customer journey and conversations with foundational or fine tuned large language models (LLM) to assist operation agents
• Identify high impact business opportunities through data exploration and model prototype, translate business problem into scientific formulations
• Work collaboratively with cross functional partners including software engineers, product managers, operations and research, to refine requirements for machine learning models, drive scientific decisions, and quantify impact
• Hands-on develop, productionize, and operate machine learning models on paved path, including both batch and real-time use cases, structured and unstructured data
• Regularly present work internally at monthly meetings to technical, engineering and product stakeholders to iterate and generate excitement on roadmap progress
• Publish externally and engage with the scientific community to advance Airbnb’s standing

Preferred Qualifications

Proven mix of strong intellectual curiosity with high level of pragmatism and engagement with the technical community. Publications or presentations in recognized journals/conferences is a plus

Benefits

• Bonus
• Equity
• Benefits
• Employee Travel Credits