Senior Machine Learning Engineer, Digital Twin Platform

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.

About You

Minimum Qualifications

• 5+ years of experience developing and deploying machine learning models in production environments.
• Strong proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Demonstrated experience with large-scale data pipelines and working with structured and unstructured data at scale.
• Experience with cloud infrastructure (AWS, GCP, or Azure) and familiarity with ML platform tooling for model training, versioning, and serving.
• Bachelor's degree or higher in Computer Science, Machine Learning, Statistics, or a related technical field, or equivalent practical experience.

Preferred Qualifications

• Experience working on computer vision, inventory forecasting, demand sensing, or related spatial/temporal modeling problems.
• Familiarity with real-time inference systems and the architectural considerations of serving ML models in low-latency, high-throughput environments.
• Prior experience in a fast-paced, cross-functional environment where you have independently driven projects from conception through production with limited oversight.
• Exposure to retail, supply chain, or e-commerce domains and an understanding of how inventory data flows and is consumed in those contexts.
• Experience collaborating closely with computer vision teams or incorporating vision-based signals into broader ML systems.

#LI-Remote

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

$240,000—$253,500 USD

WA

$230,000—$243,000 USD

OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI

$221,000—$233,000 USD

All other states

$201,000—$212,000 USD