The opportunity
As a machine learning engineer in the Economics team, you will build state-of-the-art systems that blend rigorous economic thought with sophisticated machine learning algorithms to tackle some of the company's most challenging problems. Working in a horizontal team, you will…
What you'll do
Design, develop, and deploy machine learning solutions to tackle the many: economic challenges in our complex marketplace.
Collaborate closely with product managers, data scientists, and other: engineers to deeply understand business needs and create impactful solutions.
Push the envelope on our operational efficiency by continually refining and: advancing our algorithms and models.
Be an active member of the Economics team, sharing learnings, best practices,: and research across domains while refining and advancing our algorithms.
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.
What they're looking for
- 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.