I
Instacart
Senior Machine Learning Engineer (Economist)
Skills
SQL QueriesPythonpandasMachine LearningAI
2 months ago
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Important information
Contract type:
Permanent
Salary:
$173,000 – $218,500 / year
Location:
Remote, OR 97458, USA
Work mode:
Onsite
Published on:
2 September 2026
What they need
- 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 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
- 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- A blend of economic theory, applied econometrics, and business skills that let you jump into a fast-paced environment and contribute from day one
- We are open to hiring either a Machine Learning Engineer II, Economist (fresh PhD graduate) or a Senior Machine Learning Engineer I, Economist (post-PhD industry experience)
- Graduate Degree (Masters or PhD) in Economics or a closely related field
- An understanding of machine learning algorithms and techniques
- Experience applying causal inference methodologies to both observational and experimental datasets
- Excellent communication skills (both verbal and written)
- Self-motivation and a strong sense of ownership
- Strong programming skills (Python) and fluency in data manipulation (SQL, Pandas) and machine learning tools (e.g., scikit-learn, XGBoost)
- 1-3 years of industry experience in a similar position
- Experience with cloud computing and related ML infrastructure
- Experience putting machine learning models into production environments
- For Senior Machine Learning Engineer I, Economist hires, we also expect:
- Intern experience in related roles
- Experience with uplift modeling, contextual bandits, and/or heterogeneous treatment effect estimation
- A PhD in Economics or a closely related field with a focus on data-intense problems
- Experience with large language models and generative AI, both on the algorithm side as well as a day-to-day tool
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