Senior Machine Learning Engineer II, Economist
About The Position
As a senior 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 have the opportunity to collaborate closely with partners across multiple functions to operate on a highly diverse set of problems, contributing both economic and engineering expertise in a fast-paced environment filled with exciting opportunities for technically-minded economists. The Economics team at Instacart works on a range of interesting and challenging problems across our platform, from aligning the incentives in our multi-sided marketplace to analyzing the role of prices and product placement in our customers' decision-making. Some of the core areas of focus for our team include matching and logistics, online advertising, uplift and long-term value modeling, and general causal inference. Check out this blog post to learn more.
Requirements
- A PhD in economics
- 3+ years of industry experience using machine learning to solve economic problems in large technology companies
- A blend of economic theory, applied econometrics, and business skills that let you jump into a fast-paced environment and contribute from day one
- A deep understanding of machine learning algorithms and techniques, with fluency in modern research and literature
- Strong programming skills in software engineering (e.g., Python), along with expertise in data manipulation using tools (e.g., SQL and Pandas) and modern machine learning packages
- Excellent communication skills (both verbal and written) and proven expertise in collaborating with a diverse group of stakeholders across all levels, including leadership
- Experience designing and implementing production-grade ML systems and services
Nice To Haves
- Experience in matching or logistics, ads, and paid marketing
- Experience with large language models / generative AI, both on the algorithm side as well as a day-to-day tool
Responsibilities
- 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
- Mentor junior economists, set technical direction, and conduct thorough code reviews to ensure high code quality and maintainability. Lead by example in fostering a culture of continuous improvement and technical excellence
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
