Senior Machine Learning Engineer

<div class="content-intro"><p><strong>Join ShopMy – Powering the Future of Digital Marketing</strong></p> <p>ShopMy is transforming e-commerce by building the infrastructure for human-led curation at scale. We help brands run performance-driven creator programs while enabling top creators to monetize their influence and partner directly with the brands they love—driving discovery through trusted tastemakers and authentic recommendations.<br><br>ShopMy recently became a unicorn, raising at a $1.5B valuation with backing from Bessemer Venture Partners, Avenir Growth Capital, and Bain Capital Ventures.<br><br>At ShopMy, you're building the future of human-led commerce for the world's best brands, tastemakers, and shoppers. You move fast and see immediate impact in your work, alongside accomplished teammates who are driven by helping find the world's best things. If you’re excited to help shape the future of curated commerce at the intersection of technology, culture, and taste, we’d love to meet you.</p></div><p><strong>About the role</strong></p> <p>We’re looking for a Senior Machine Learning Engineer to help ShopMy build and scale production-grade ML systems across personalization, search, and recommendations.</p> <p>You’ll work closely with the co-founders and a small, high-impact team to design, build, and ship end-to-end machine learning systems; from data ingestion and modeling to deployment, monitoring, and iteration. This is a hands-on role for engineers who enjoy owning the full ML lifecycle and delivering real product impact. You’ll play a key role in defining and building ShopMy’s foundational ML infrastructure.</p> <p><strong>What You’ll Do</strong></p> <h4><strong>Build Practical, End-to-End ML Systems</strong></h4> <ul> <li>Design and ship productionized ML pipelines, from raw data and ETL through model inference and orchestration</li> <li>Build and deploy ML-powered APIs and services that support real user-facing features</li> <li>Own the full lifecycle of ML systems: experimentation, deployment, monitoring, and iteration<br><br></li> </ul> <h4><strong>Work on Core ML Product Areas</strong></h4> <ul> <li>Develop ML systems for personalization, search, and recommendations</li> <li>Work with embedding-based systems and vector representations (text, images, or multimodal data)</li> <li>Measure results rigorously and iterate based on real-world performance<br><br></li> </ul> <h4><strong>ML Engineering & Infrastructure</strong></h4> <ul> <li>Create and maintain data pipelines and internal tooling</li> <li>Deploy and operate ML systems in production (AWS, co