Senior Machine Learning Engineer, Economist

For our client, we are seeking a Senior Machine Learning Engineer, Economist to join the team of a leader in the Consumer Technology space. This role will apply machine learning and econometric thinking to solve complex business problems in a fast-moving consumer platform environment. You will partner closely with product managers and data scientists to design solutions that improve operational performance and support data-driven decision-making. The position combines economic theory, causal inference, and advanced programming to turn analytical insights into scalable, production-ready systems. Location: Remote - US based candidates only, no visa sponsorship available Compensation: $173,000 – $218,500 annually Responsibilities Design and deploy machine learning solutions for complex economic and business challenges Collaborate with product managers and data scientists to create impactful solutions Refine and advance algorithms for operational efficiency Share learnings and best practices within the Economics team Qualifications Master's or PhD in Economics or a related field Experience with economic theory, applied econometrics, and business analysis Experience with causal inference methodologies Understanding of machine learning algorithms Strong programming skills in Python; data manipulation with SQL and Pandas Excellent verbal and written communication skills Self-motivated with a strong sense of ownership Benefits Remote work eligibility with a Flex First remote policy Market-competitive compensation with new hire equity grants Annual refresh grants for continued employee investment Access to a diverse set of challenging problems across the platform Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.