We're transforming the grocery industry

Instacart is the North American leader in online grocery and one of the fastest-growing companies in e-commerce. Since 2012, we’ve been working towards creating a world where everyone has access to the food they love and more time to enjoy it together. 

Groceries delivered to your door in as little as an hour. It seems simple, right? Well, it’s more complex than that. From re-routing deliveries during snowstorms, to connecting customers with coupons and deals for their favorite brands, to updating over half a billion grocery data lines every night...our efforts bring Instacart closer to being the operating system for the grocery industry.

Solving these problems is what helps our customers get back time in their day, so they can do more of what they love.

Introducing Our Hybrid Working Model

As the future of work evolves, so do we. We have a hybrid model where our roles are open to in-office, flex, or remote work.  Learn more about our flexible approach to where we work.

 

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.

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+ 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

#LI-Remote

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At Instacart, we like to think of ourselves as a potluck—where everyone brings something new, different, and flavorful to the table. We believe our team’s wide range of perspectives, experiences and backgrounds enable us to build a better product for our customers. Instacart is for everyone, and we’re committed to fostering diverse and inclusive teams that reflect the communities we serve.

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