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Instacart

Machine Learning Engineer II

Posted Yesterday
Remote
4 Locations
Junior
Remote
4 Locations
Junior
Mid level machine learning engineer role at Instacart. Responsibilities include designing, developing, testing, and deploying machine learning models to solve customer problems and drive business forward. Requires strong programming skills and analytical abilities.
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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

About the Role

As a Machine Learning Engineer, you will apply machine learning to create and optimize solutions in impactful areas such as incentives targeting. Through continuous innovations and improvements, your work will be instrumental in driving sustainable growth.

About the Team 

The Growth Modeling team comprises highly skilled Machine Learning Engineers focused on ML-driven systems such as incentive optimization, contributing to Instacart’s growth.

About the Job 

Design, develop, and deploy machine learning solutions to tackle practical problems.Collaborate closely with product managers, data scientists, and backend engineers to ensure the ML solutions are well-integrated and aligned with business goals.Improve the reliability and scalability of our ML systems.

About You


Minimum Qualifications

MS or PhD in Computer Science/Engineering or a related field, with 0-3+ years of industry experience focused on machine learning

Strong programming skills in Python

Fluency in data manipulation (e.g., SQL, Spark) and machine learning tools (e.g., scikit-learn, Tensorflow and Pytorch)

Have strong analytical skills and problem-solving ability

Self-motivated individual with a strong ownership mindset

Strong communicator who can collaborate with diverse stakeholders

Preferred Qualifications

1+ years of industry experience in productionizing large-scale machine learning models and systems

Proven track record of sovling impactful problems with urgency and quality

Knowledge of deep learning frameworks and methodologies

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, British Columbia, and Nova Scotia.

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

Top Skills

Python

Instacart Toronto, Ontario, CAN Office

We're located in Toronto's historic Liberty Village-a neighborhood that's at the heart of Toronto's thriving technology scene. Our office is a refurbished carpet factory, and it's surrounded by lofts, coffee shops, restaurants, and pubs that locals love.

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