Senior Machine Learning Engineer II, Marketing

October 9

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Instacart

WebsiteLinkedInAll Job Openings

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

• Help design and build end-to-end machine learning solutions and optimization algorithms, with a particular focus on paid marketing. • Work in small and cross-functional product teams, with great opportunities for growth and ownership of projects. • Be an active member of an internal community, including economists, data scientists, operations research scientists and machine learning engineers, sharing learnings, best practices and research across many domains. • Develop high impact solutions to support Instacart's ambitious growth plans. • Work closely with engineers, product managers, other teams, and both internal and external stakeholders, owning a large part of the process from problem understanding to recommending a solution and testing it in controlled experiments. • Have the freedom to suggest and drive organization-wide initiatives.

🎯 Requirements

• PhD in Economics, Marketing, or Finance with focus on data-intense problems or 3-5 years of industry experience in machine learning or economics roles. • Deep applied expertise in marketing applications, including MMMs, experimentation, and incrementality estimation. • A blend of economic theory, applied econometrics, and business skills that let you jump into a fast-paced environment and contribute from day one. • Expertise in causal inference with observational and experimental data. • Strong engineering skills with expertise in R or Python and fluency in data manipulation (SQL, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools. • An ability to identify and prioritize high-impact problems and deliver solutions that provide reasonable trade-offs between urgency and quality. • Willing and able to travel internationally based on job requirements. • Self-motivation and a strong sense of ownership.

🏖️ Benefits

• highly market-competitive compensation • benefits offerings • potential for a new hire equity grant • annual refresh grants