Senior Machine Learning Engineer, Economist

📋 Description

• Design, develop, test, and deploy machine learning solutions that address complex economic and
• Apply economic theory, econometric methods, causal inference, and machine learning techniques to
• Collaborate closely with product managers, data scientists, software engineers, and other
• Develop and continuously improve algorithms and models to increase operational efficiency, improve
• Contribute to projects across areas such as marketplace matching and logistics, online advertising
• Help advance the team's technical capabilities by sharing research findings, engineering practices

🎯 Requirements

• Master's or PhD degree in Economics or a closely related quantitative field, with a PhD and
• Strong combination of economic theory, applied econometrics, business understanding, and
• Demonstrated experience applying causal inference methodologies to observational and experimental
• Solid understanding of machine learning algorithms, modeling techniques, and practical applications.
• Strong programming skills in Python, with fluency in SQL, Pandas, and common machine learning
• Excellent written and verbal communication skills, with the ability to explain technical and

🎁 Benefits

• Base salary range of $180,000–$190,000 CAD for eligible Canadian-based candidates.
• Eligibility for a new-hire equity grant and annual equity refresh grants.
• Highly competitive compensation and benefits aligned with the employee's permanent work location.
• Flexible, remote-first work model with the ability to work from home, an office, or another
• Flexibility supported by regular opportunities for in-person connection and team events.
• Inclusive and collaborative environment focused on technical innovation, learning, and professional