<h3><strong>About Us</strong></h3><p>Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so.</p><p>Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco.</p><p>We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things.</p><p>Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today.</p><h3><strong>Challenges you will tackle</strong></h3><ul> <li>Build and deploy robust ML systems / algorithms for personalized product discovery experiences</li> <li>Collaborate with technical and non-technical business partners to develop / update personalization features across Constructor product suite</li> <li>Build fast, robust and scalable services including our User History and User Profile API</li> <li>Participate in architectural discussions and optimize the system architecture of the Personalization domain.</li> </ul><ul> <li>Excellent skills delivering &amp; communicating business value</li> <li>Have Python experience</li> <li>Have experience with server-side coding and API design</li> <li>Have experience with relational databases, key-value database and distributed systems</li> <li>Have experience with building services based on the ML models</li> <li>Have worked at a high-traffic website with highly available and robust systems</li> <li>Experience with a public cloud like AWS, Azure or GCP</li> <li>Love designing and implementing new features</li> <li>Enjoy helping others around you grow as developers and be successful</li> <li>Can work independently</li> <li>Can pick up new ideas and technologies quickly and loves learning and talking to others about them</li> <li>Love to experiment and use data and customer feedback to drive decision-making</li> </ul><p></p><h3><strong>Good to have</strong></h3><ul> <li>Experience with system architecture and design</li> <li>Experience shipping personalization &amp; search (recommendation) systems to production</li> <li>Experience with MLOps</li> </ul>