About the role
Founding Applied ML Engineer
About Wildcard
Wildcard is the agentic commerce optimization platform for ecommerce and retail brands.
We help brands understand, improve, and monetize how their products show up across AI shopping agents. We’re building the mission control for agentic commerce: visibility (AEO & GEO), recommendations, execution, attribution, and automation in one platform.
As shopping shifts from traditional search to AI agents, brands need to know where they appear, why competitors are winning, what to change, and whether those changes drive real business outcomes.
We’re growing 50% month over month.
Who you’ll work with
You’ll work directly with me, Kaushik Mahorker, founder of Wildcard.
Previously at Scale AI, I built the ecommerce enrichment engine behind the company’s largest pilot across 400K SKUs, 2.8M attributes, and hundreds of taxonomies, helping secure $15M+ in contracts with major retailers and marketplaces.
That experience made something clear: shopping discovery is being rebuilt for an AI-first world, and most brands are not prepared for the shift.
The role
We’re looking for a Founding Applied ML Engineer to help shape both the product and the company from the earliest stage.
This is engineer number one. You are not joining an engineering team. You are helping build one.
The ideal person is strong enough to own product engineering across the stack, but also has the applied ML judgment to build reliable AI systems, ranking systems, evals, attribution models, agents, and automation loops that customers can actually trust.
This is not a pure research role. It is not a pure analytics role. It is not a narrow full-stack role either.
We need a builder who can move between product, infrastructure, applied ML, data, and customer problems without waiting for someone else to define the lane.
