We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we're building the team to help push our shopping cart forward. If you're ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There's no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work?"whether it's from home, an office, or your favorite coffee shop?"while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

OVERVIEW

We are looking for 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.

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 ROLE

The ideal candidate for this role will bring a combination of experience in both economics and machine learning. This might be a recent economics PhD graduate with relevant research experience, typically in computationally intensive empirical topics, as well as some exposure to machine learning coursework and applications. We are also interested in candidates with industry experience in the creation, deployment, and maintenance of machine learning models at scale, especially if they have some background or experience in economics or an economics-adjacent field. More senior candidates are also welcome to apply.

ABOUT THE 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. Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference.

ABOUT THE JOB

You will help design and build end-to-end machine learning solutions
You will be working in small and cross-functional product teams, with great opportunities for growth and ownership of projects
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

MINIMUM QUALIFICATIONS

Graduate-level research experience on data-intense problems or 1+ years of industry experience in machine learning or economics-focused roles.
A blend of economic theory, applied econometrics, and business skills that let you jump into a fast-paced environment and contribute from day one.
Expertise in causal inference with observational and experimental data.
Strong engineering skills with expertise in R or Python and fluency in data manipulation (SQL, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.
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
Self-motivation and a strong sense of ownership

PREFERRED QUALIFICATIONS

PhD in Economics with focus on data-intense problems or 3-5 years of industry experience in machine learning or economics-focused roles.
A blend of economic theory, applied econometrics, and business skills that let you jump into a fast-paced environment and contribute from day one.
Expertise in causal inference with observational and experimental data.
Strong engineering skills with expertise in R or Python and fluency in data manipulation (SQL, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.
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
Self-motivation and a strong sense of ownership
Nice to have: Experience with training large-scale models and model deployment on cloud services (Docker, AWS/GCP/Azure).

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta and British Columbia.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.

For Canadian based candidates, the base pay ranges for a successful candidate are listed below.

CAN
$153,000-$170,000 CAD

Summary
Company name: Instacart
Remote job title: Machine Learning Engineer II, Economist
Job tags: marketplace, Goods, Causal reasoning and diagnostics