Senior Machine Learning Engineer, Economist

About You

Minimum Qualifications

• Graduate Degree (Masters or PhD) in Economics or a closely related field
• A blend of economic theory, applied econometrics, and business skills that let you jump into a fast-paced environment and contribute from day one.
• Experience applying causal inference methodologies to both observational and experimental datasets.
• An understanding of machine learning algorithms and techniques.
• Strong programming skills (Python) and fluency in data manipulation (SQL, Pandas) and machine learning tools (e.g., scikit-learn, XGBoost).
• Excellent communication skills (both verbal and written).
• Self-motivation and a strong sense of ownership.
• For Senior Machine Learning Engineer I, Economist hires, we also expect:
• 1-3 years of industry experience in a similar position.
• Experience putting machine learning models into production environments.
• Experience with cloud computing and related ML infrastructure.

Preferred Qualifications

• A PhD in Economics or a closely related field with a focus on data-intense problems.
• Intern experience in related roles.
• Experience with large language models and generative AI, both on the algorithm side as well as a day-to-day tool.
• Experience with uplift modeling, contextual bandits, and/or heterogeneous treatment effect estimation.