Associate Director, Machine Learning Engineering

At Chewy, we are attempting something that most think is impossible: building an operational AI digital twin of our vast fulfillment network to manage our operations with no human intervention. We are pushing the boundaries of what digital twins can achieve. This isn’t about creating a simulation tool for better visibility—this is about orchestrating an entire network of interconnected systems, where AI doesn’t just optimize but learns, adapts, and transforms the way a business operates. If your ideal day involves managing predictable tasks or incremental improvements, this role won’t be a fit. We’re looking for someone who thrives in complexity, who doesn’t just solve problems but redefines them.

WHAT YOU’LL DO:

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• Hire and manage a small but elite team of scientists, engineers, and digital twin experts
• Design and deploy a large-scale digital twin that dynamically mirrors Chewy’s fulfillment network, tracking and optimizing people, machines, inventory, and orders in real-time
• Develop AI tools that make operational decisions, constantly evolving to minimize Chewy’s operational cost
• Serve as the architect of Chewy’s digital twin strategy, staying ahead of industry trends, and driving our vision forward

WHAT YOU’LL NEED:

• Bachelor's Degree (AI, Data Science, Engineering, MIS, CS, or related field)
• Demonstrated experience developing digital twins
• Track record of solving problems others deemed impossible
• Experience building complex systems from first principles
• Comfort working in an ambiguous space where ideas are regularly challenged
• Comfort being deeply wrong and learning from your failures
• The ability to work with minimal guidance on undefined problems