Founding Applied ML Engineer

Founding Applied ML Engineer at Wildcard | Y Combinator Wildcard AEO/GEO for E-Commerce and Retail Founding Applied ML Engineer $130K - $250K•0.50% - 4.00%•San Francisco, CA, US Job type Full-time Role Engineering, Machine learning Experience 3+ years Visa US citizen/visa only Connect directly with founders of the best YC-funded startups. Apply to role › Kaushik Mahorker Founder Kaushik Mahorker Founder 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 autom