Senior Machine Learning Engineer, Economist

What you'll do

• Design, develop, and deploy machine learning solutions to address complex marketplace economic challenges.
• Apply causal inference methodologies to both observational and experimental datasets.
• Build state-of-the-art systems that integrate rigorous economic theory with sophisticated machine learning algorithms.
• Refine and advance algorithms to improve operational efficiency across the platform.
• Develop models for matching, logistics, online advertising, uplift, and long-term value.
• Translate business needs from product managers and data scientists into technical engineering solutions.
• Manage and deploy machine learning models within production environments using cloud infrastructure.

What we're looking for

• Master's or PhD degree in Economics or a closely related field.
• Proficiency in economic theory, applied econometrics, and business skills.
• Experience applying causal inference methodologies to observational and experimental datasets.
• Understanding of machine learning algorithms and techniques.
• Strong programming skills in Python with fluency in SQL, Pandas, scikit-learn, and XGBoost.
• Excellent verbal and written communication skills.
• For Senior roles: 1-3 years of industry experience in a similar position.
• For Senior roles: Experience putting machine learning models into production environments and using cloud computing infrastructure.