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 Senior Machine Learning Engineer, you will leverage your deep technical expertise to tackle critical and complex problems within our marketplace systems. You will apply machine learning to create and optimize solutions in impactful areas such as delivery ETA, pricing, and incentives targeting. Through continuous innovations and improvements, your work will be instrumental in driving sustainable growth.
About the Team
Our team comprises highly skilled Machine Learning Engineers and ML Infrastructure Backend Engineers focused on ML-driven systems such as ETA prediction, pricing elasticity modeling, and incentives optimization and personalization. The team thrives on innovation and collaboration, driving advancements that directly affect Instacart’s growth and efficiency.
About the Job
Design, develop, and deploy machine learning solutions to tackle practical challenges in the marketplace.Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML applications.Actively engage with diverse stakeholders to ensure that solutions are well-integrated and aligned with business goals.Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models.
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, Java, or other relevant languages Fluency in data manipulation (e.g., SQL, Spark, Pandas) and machine learning tools (e.g., scikit-learn, XGBoost, Tensorflow and Pytorch).Have strong analytical skills and problem-solving abilitySelf-motivated individual with a strong ownership mindsetStrong communicator who can collaborate with diverse stakeholders
Preferred Qualifications
Experience with managing large-scale machine learning model training and deployment.Knowledge of deep learning frameworks and methodologies.Proven track record of effectively identifying and addressing high-impact problems with solutions that balance urgency and quality.
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
$203,000—$226,000 USD
WA
$195,000—$217,000 USD
OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI
$187,000—$208,000 USD
All other states
$169,000—$188,000 USD
