Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impac
We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. Top notch private health, dental, and vision insurance for you and your dependents. You will design the logic, algorithms, and strategies that transform many indep
The team develops and enhances various AI models, ML services and tools including LLM fine-tuning, alignment and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. As a principal machine learning engine
Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation-systems, environmental systems and/or agronomic problems. Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorF
Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses. You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems. Strong Python ski
You are comfortable working in modern cloud data warehouses with SQL to prepare data for modeling, and can collaborate effectively with data engineers on production pipelines. We acquire terabytes of data from diverse sources and apply modern statistical and machine learning techniques to shape the
Oversee nascent data infrastructure including AWS data warehouse and Tableau visualizations, and optimize integration between data platforms (Jotform, Salesforce, milestone portals). The Learning Center also works with a diverse portfolio of funders and partners - including Managed Care Plan
Develop deep understanding of borrower behavior, repayment dynamics, and portfolio structure across both products, and use that to inform model design and decision logic. Design and run experiments to evaluate model performance, measure impact on approval rates and loss, and inform credit policy dec
The senior statistical programmer will gather and interpret user requirements for programming requests, retrieve required data, transform data into analysis/modeling datasets, and develop tables, listings and figures according to statistical/modeling analysis plan. Effective knowledge and experience