Lead Software Engineer (Java)
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You'll develop and evaluate bidding, pacing, and budgeting algorithms for Instacart's ads marketplace, working with production systems that optimize advertiser spend in real time. The role requires a PhD in mathematics, statistics, economics, or a related quantitative field, plus proficiency in Python and SQL. You'll collaborate with scientists and engineers on algorithm implementation, validation, and experimentation. Based in Toronto but remote-eligible within select Canadian provinces, the position offers $145,000–$153,000 CAD base pay.
Written from this posting by Neural Jobs AI. The full description is below.
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.
The Advertiser Optimization team is the decision-making engine of Instacart's $1B+ ads business. We own the systems responsible for Bidding, Pacing, Budgeting, Targeting and advertiser-facing recommendations - converting stated advertiser goals into real-time auction actions. Our mission is to maximize realized Advertiser Value by deciding when to participate, how much to bid, and how fast to spend, all while carefully balancing User Experience and Platform Revenue.
We are looking for a Software Engineer II with a strong quantitative background to join our Toronto-based team. In this role, you will apply your expertise in mathematics, statistics, economics, or a related field to help build and refine the algorithmic systems that power how Instacart's advertising marketplace operates. You'll work alongside a talented team of scientists and engineers, contributing to production systems that have real, measurable impact on a scaled ads platform. If you're excited by the intersection of rigorous quantitative thinking and large-scale engineering, this is the role for you.
#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. 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.
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Instacart is a grocery technology company whose marketplace connects consumers with supermarkets and other retailers for delivery and pickup. Customers browse participating stores, place orders, and have items selected and fulfilled through Instacart's shopper and logistics network. Beyond the consumer marketplace, Instacart provides retailers with e-commerce technology, fulfillment tools, analytics, connected-store products, and advertising services. Consumer packaged-goods brands use its advertising platform to reach shoppers close to the point of purchase.
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