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Machine Learning Engineer II, Economics
full-timeUnited States$150k - $190k

Summary

Location

United States

Salary

$150k - $190k

Type

full-time

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About this role

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.


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.


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. You can find more information in our blog post that introduces the team and the type of work we do.


 


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



  • PhD in Economics or a related field 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


 


PREFERRED QUALIFICATIONS



  • 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.


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

CA, NY, CT, NJ
$180,000$190,000 USD
WA
$173,000$182,000 USD
OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI
$165,000$174,000 USD
All other states
$150,000$159,000 USD

Other facts

Tech stack
Machine Learning,Economics,Causal Inference,Data Manipulation,Python,R,SQL,Pandas,Scikit-learn,XGBoost,Keras,Tensorflow,Model Deployment,Cloud Services,Empirical Research,Business Skills

About Instacart

Instacart, the leading grocery technology company in North America, works with grocers and retailers to transform how people shop. The company partners with more than 1,500 national, regional, and local retail banners to facilitate online shopping, delivery and pickup services from more than 85,000 stores across North America on the Instacart Marketplace. Instacart makes it possible for millions of people to get the groceries they need from the retailers they love, and for approximately 600,000 Instacart shoppers to earn by picking, packing and delivering orders on their own flexible schedule. The Instacart Platform offers retailers a suite of enterprise-grade technology products and services to power their e-commerce experiences, fulfill orders, digitize brick-and-mortar stores, provide advertising services, and glean insights. With Instacart Ads, thousands of CPG brands – from category leaders to emerging brands – partner with the company to connect directly with consumers online, right at the point of purchase. With Instacart Health, the company is providing tools to increase nutrition security, make healthy choices easier for consumers, and expand the role that food can play in improving health outcomes. For more information, visit www.instacart.com/company.

Team size: 1,001-5,000 employees
LinkedIn: Visit
Industry: Software Development

What you'll do

  • You will help design and build end-to-end machine learning solutions while working in small, cross-functional product teams. You will develop high-impact solutions to support Instacart's ambitious growth plans.

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Frequently Asked Questions

What does Instacart pay for a Machine Learning Engineer II, Economics?

Instacart offers a competitive compensation package for the Machine Learning Engineer II, Economics role. The salary range is USD 150k - 190k per year. Apply through Clera to learn more about the full compensation details.

What does a Machine Learning Engineer II, Economics do at Instacart?

As a Machine Learning Engineer II, Economics at Instacart, you will: you will help design and build end-to-end machine learning solutions while working in small, cross-functional product teams. You will develop high-impact solutions to support Instacart's ambitious growth plans..

Why join Instacart as a Machine Learning Engineer II, Economics?

Instacart is a leading Software Development company. The Machine Learning Engineer II, Economics role offers competitive compensation.

Is the Machine Learning Engineer II, Economics position at Instacart remote?

The Machine Learning Engineer II, Economics position at Instacart is based in United States, United States. Contact the company through Clera for specific work arrangement details.

How do I apply for the Machine Learning Engineer II, Economics position at Instacart?

You can apply for the Machine Learning Engineer II, Economics position at Instacart directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process. You can also learn more about Instacart on their website.