Software Engineer II, Advertiser Optimization

🔥 15 hours ago

🇨🇦 Canada – Remote

💵 $145k - $153k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🧑‍💻 Full-stack Engineer

👻 Ghost score 0%

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Logo of Instacart

Instacart

1001 - 5000 employees

Founded 2012

🍽️ Food & Beverage

📦 Logistics

🛍️ eCommerce

💰 $232M Venture Round on 2021-11

Food & Beverage • Logistics • eCommerce

Instacart is a company that offers a flexible approach to work while transforming the grocery industry. It provides an essential service by delivering groceries and household goods to customers' doors in as little as 30 minutes. Instacart offers safe and flexible earning opportunities to personal shoppers and tackles challenges such as rerouting deliveries during snowstorms and connecting customers with coupons and deals. It aims to be the operating system for the grocery industry, thus helping customers save time for other activities. Instacart emphasizes diversity, equity, and belonging in its work culture.

📋 Description

• Develop and evaluate models and algorithms for ads bidding, pacing, and budgeting • Collaborate with scientists, engineers, and product managers to formulate marketplace questions, implement analyses and prototypes, design experiments, and interpret large-scale data • Contribute to production systems through algorithm implementation, validation, and monitoring • Take ownership of well-scoped projects from initial hypothesis through measurable impact • Balance analytical rigor with speed in a fast-changing ads marketplace • Communicate assumptions, findings, and limitations to technical and cross-functional partners

🎯 Requirements

• PhD in mathematics, statistics, economics, operations research, or a related quantitative discipline • Strong foundation in optimization, probability, statistical modeling, econometrics, or control theory • Proficiency in Python and SQL • Ability to translate quantitative concepts into analyses, algorithm implementations, and experiments • Strong analytical and communication skills • 2+ years of software engineering experience, particularly applying quantitative methods to production systems (preferred) • Familiarity with ads systems, auction theory, or marketplace optimization problems (preferred) • Experience with large-scale data pipelines and real-time decision systems (preferred) • Familiarity with machine learning techniques and production machine learning systems (preferred)

🏖️ Benefits

• New hire equity grant • Annual refresh grants • Flexible choice of work location: home, office, or coffee shop • Regular in-person events • Market-competitive compensation and benefits

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