Director, Enterprise AI – Machine Learning Engineering

Job not on LinkedIn

🔥 6 minutes ago

🇨🇦 Canada – Remote

💵 $313k - $330.5k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

👻 Ghost score 0%

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Instacart

WebsiteLinkedInAll Job Openings

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

• Lead engineering and machine learning strategy for agentic AI solutions for Instacart’s retail partners • Build, mentor, and inspire high-performing engineering and science teams • Partner with retailers and internal stakeholders to translate complex business problems into AI products • Guide development of reliable, scalable, usable systems combining machine learning, data, software engineering, and agentic capabilities • Establish direction in a zero-to-one product space while balancing technical strategy with rapid execution • Represent Enterprise AI across the organization and communicate tradeoffs, progress, risks, and opportunities to senior stakeholders • Lead products through the full lifecycle from identifying customer needs and exploring technologies to deploying and scaling production-ready AI systems

🎯 Requirements

• Demonstrated experience building and deploying agentic AI, generative AI, or machine learning products in production environments • Experience leading engineering, machine learning, data science, or applied science teams through product development and delivery • Experience partnering with product, business, customer-facing, and technical stakeholders to define requirements and deliver solutions to complex problems • Strong understanding of machine learning development practices, software engineering principles, data systems, and operational considerations required to scale AI applications • Demonstrated ability to set technical direction, prioritize work, manage ambiguity, and deliver results in a fast-changing environment • Preferred: Deep technical expertise in agentic systems, large language models, machine learning platforms, or related applied artificial intelligence • Preferred: Experience delivering applied machine learning products at significant scale • Preferred: Experience leading cross-functional initiatives across engineering, machine learning, data science, product, consulting, and customer-facing teams • Preferred: Experience working directly with retailers, commerce platforms, or other enterprise customers • Preferred: Track record creating clarity and momentum in zero-to-one product environments

🏖️ 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