OVERVIEW

We're looking for experienced economists and machine learning engineers to join our fast-moving team. The Economics team at Instacart works on a range of interesting and challenging problems, from aligning the incentives in our multi-sided marketplace to analyzing the role of prices and product placement in our customers' decision-making.

For our team, we are looking for economics or machine learning engineers with experience in bringing machine learning models to life. The ideal candidate for this position has a background in both economics and machine learning and past experience in creating end-to-end machine learning solutions. We’re considering candidates up to Staff level. 

There is tremendous opportunity in front of us, and joining now gives you a chance to grow your career and interests as we succeed.

ABOUT THE JOB

• You will build end-to-end machine learning solutions to bring models from conception to production.
• You will be dedicated to a small cross-discipline product team, with tremendous ownership and responsibility for managing things directly.
• You will be an active member of an internal community, including economists, data scientists, operations research scientists and machine learning engineers, sharing learnings, best practices and research across many domains.
• You will develop high impact solutions to support Instacart's ambitious growth plans.
• You will work closely with engineers, product managers, other teams, and both internal and external stakeholders, owning a large part of the process from problem understanding to recommending a solution and testing it in controlled experiments.
• You will have the freedom to suggest and drive organization-wide initiatives.

ABOUT YOU

• 3-6+ years of academic or industry experience in an economics role, preferable working on data-intense problems
• A graduate degree in economics or equivalent experience
• A blend of economic theory, applied econometrics, and business skills that let you jump into a fast-paced environment and contribute from day one
• Strong engineering skills with expertise in Python and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools
• Experience with training large-scale models and model deployment on cloud services (Docker, AWS/GCP/Azure).
• An ability to identify and prioritize high-impact problems and deliver solutions that provide reasonable trade-offs between urgency and quality.
• Willing and able to travel internationally based on job requirements
• Expertise in causal inference with observational and experimental data
• Self-motivation and a strong sense of ownership

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