Instacart
eCommerce • Transport • Retail
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.
1001 - 5000 employees
Founded 2012
🛍️ eCommerce
🚗 Transport
🛒 Retail
💰 $232M Venture Round on 2021-11
Machine Learning Engineer II, Fraud
November 17
Instacart
eCommerce • Transport • Retail
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.
1001 - 5000 employees
Founded 2012
🛍️ eCommerce
🚗 Transport
🛒 Retail
💰 $232M Venture Round on 2021-11
📋 Description
• Design & development ML models that power fraud detection and prevention at scale. • Use your expertise to architect robust and scalable solutions for real-time fraud decisioning systems. • Collaborate with cross-functional partners—data scientists, risk managers, and product teams—to define and drive strategies for fraud and identity protection. • Solve ambiguous technical and business challenges independently, taking full ownership over outcomes.
🎯 Requirements
• 2+ years of professional experience in software engineering in ML modeling development and leadership. • Proven ability to design and operate complex ML modeling at scale (both technical scalability and organizational impact). • Demonstrated leadership: ability to mentor and level up peers, as well as communicate technical trade-offs with stakeholders. • Passion for fraud and risk tech: a strong grasp of security, real-time decisioning, machine learning systems, or similar domains. • LLM modeling and application experience is strongly preferred
🏖️ Benefits
• Competitive salary • New hire equity grant • Annual refresh grants • Flexible work arrangements
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