<h3>About Us</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>About the team</h3><p>The Personalization team, within the Machine Learning Chapter and Engineering Department, plays a central role in implementing algorithms that utilize personalization signals to optimize for business KPIs like revenue &amp; conversions. We focus on metrics over features, arming our search and product discovery products with powerful personalization capabilities that enhance the shopping experience for millions of users and bring value to customers in the way they care the most about.</p><p>The team consists of several engineers owning &amp; collaborating on multiple projects. As a member of the Personalization team, you will use world-class analytical, engineering and machine learning techniques on big data to shape and scale our personalization algorithms to drive cutting edge experiences.</p><h3>Challenges you will tackle</h3><ul><li>Build and deploy robust ML systems / algorithms for personalized product discovery experiences.</li><li>Drive research initiatives to ensure the team adopts an innovative approach and integrates state-of-the-art techniques.</li><li>Conceptualize and implement new personalization features and products that meet customer needs, drive revenue growth and enhance other business KPIs.</li><li>Collaborate in architectural discussions and optimize the system architecture of the Personalization domain.</li></ul><ul><li>Data-Driven and Customer-Focused: Able to translate insights into data-driven hypotheses and engineering solutions that drive business value. Passionate about experimentation, and using customer feedback to inform decisions and drive results.</li><li>Personalization Experience: Background in personalized recommendation systems, ranking models, or search relevance.</li><li>ML Expertise: Proficient in machine learning with hands-on experience in applying modern personalized architectures.</li><li>Proven Ability to Deliver: Experience in building and deploying production ML systems, and using A/B testing to validate their value.</li><li>Programming Languages and Tools: Excellent Python skills, experience with at least one DL framework, proficient in SQL, and comfortable with big data tools (Spark, Presto/Athena, Hive).</li><li>ML Workflow Management: Experience with data pipeline orchestration (e.g., Airflow) for automating ML workflows.</li><li>Effective Communication: Clearly explains complex technical concepts and data insights to both technical and non-technical audiences.</li></ul>