About the role
About Wildcard
Wildcard is building the infrastructure layer for AI commerce. We help e-commerce brands understand how they appear across AI shopping surfaces, improve product visibility, and connect that visibility to real business outcomes. Backed by Y Combinator, Wildcard sits at the intersection of ecommerce, AI systems, and data.
About the Role
Wildcard is hiring an Applied ML / Data Science Intern to work on a range of high-impact data problems across the business. This is a role for someone currently pursuing an MS or PhD who wants to work on fast-moving, applied problems with direct product and company impact.
This internship is not centered around a single long-term research project. You’ll work across multiple efforts, often in parallel, depending on what the company needs most. That may include attribution systems, site traffic modeling, experiment design, data analysis, building pipelines to collect new data points, and helping turn messy signals into usable product intelligence.
The right person for this role has strong fundamentals in data science and machine learning, prior hands-on experience applying those skills, and enough software engineering ability to actually build. This is not a pure research role and not a pure analytics role. You should be comfortable moving between modeling, analysis, and implementation.
You’ll work closely with the founder and move quickly from question to analysis to implementation.
What You’ll Work On
- Build and improve attribution systems that connect AI visibility to site traffic and downstream outcomes
- Develop models and analyses around site traffic, conversion patterns, and performance trends
- Design ways to collect new data points and engineer pipelines that make those signals usable
