Senior Machine Learning Engineer, Economist

What you'll do

• Design, develop, and deploy machine learning solutions to address marketplace economic challenges.
• Apply causal inference methodologies to both observational and experimental datasets.
• Build systems that blend 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, and long-term value.
• Put machine learning models into production environments using cloud computing infrastructure.
• Analyze the role of prices and product placement on customer decision-making.

What we're looking for

• Graduate Degree (Masters or PhD) in Economics or a closely related field.
• A blend of economic theory, applied econometrics, and business skills.
• Experience applying causal inference methodologies to both observational and experimental datasets.
• Understanding of machine learning algorithms and techniques.
• Strong programming skills in Python and fluency in SQL, Pandas, scikit-learn, and XGBoost.
• Excellent verbal and written communication skills.
• 1-3 years of industry experience in a similar position (required for Senior Machine Learning Engineer I).
• Experience putting machine learning models into production environments and with cloud computing (required for Senior Machine Learning Engineer I).
• PhD in Economics or a closely related field with a focus on data-intense problems (preferred).
• Intern experience in related roles (preferred).
• Experience with large language models, generative AI, uplift modeling, contextual bandits, and/or heterogeneous treatment effect estimation (preferred).