Machine Learning Engineer, Discovery

Join the Future of Commerce with Whatnot!

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Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.

As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.

We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.

Role

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• Lead the design, development, and productionization of ML models that power feed recommendations and buyer personalization
• Lead ML-based projects from end-to-end: scoping and planning, data collection and feature engineering, model training and deployment, backend implementation, and online experimentation
• Support product initiatives like exploration and international, new buyer, new seller, and small category growth.
• Work closely with Backend Software Engineers to implement ML-based solutions into production. Contribute to backend development to support recommendations and feed work.
• Drive technical excellence and establish ML best practices across the Buyer and Discovery teams, working closely with our Machine Learning Platform and Research teams. Grow ML knowledge across the team and support the scalability of our production models

US Based

Team members in this role