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hace 3 meses

Madrid, España Huntsbot A tiempo completo

.Backend Engineer, Ranking & Personalization at Constructor.Io Backend Engineer, Ranking & Personalization (Remote) - Remote Spain EngineeringAbout UsConstructor powers product search and discovery for some of the largest retailers in the world, like Sephora and Petco. We serve billions of requests every day, and you've probably seen our results somewhere and used our product without knowing it. We differentiate ourselves by focusing on metrics over features, and reinventing search and discovery from the ground up as a machine learning challenge with the specific goal of improving metrics like revenue. We have grown several hundred percent YoY for the last 2 years and have customers in every eCommerce vertical, around the world, and spanning many languages. We're a passionate team of technologists 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 think is best can lead to great things.About the TeamThe Ranking & Personalization team, within Data Science and Engineering, plays a central role in implementing algorithms that optimize for business KPIs like revenue & conversions. We focus on metrics over features, arming our ranking algorithms with powerful capabilities that bring value to customers in the way they care the most about. The team is a cross-functional team, consisting of ML, BE, FE engineers and designers, owning & collaborating on multiple projects. As a member of the R&P team, you will be surrounded by and encouraged to use world-class analytical, engineering and machine learning techniques on big data to shape the evolution and scale our search algorithms. R&P team owns all stages of product ranking for Search, Browse and Autocomplete experiences, including base ranking, ML ranking, personalization, and ranking explanation. One of the main services R&P owns is the ML Ranking Service which is a high load distributed REST service deployed in the cloud and developed in Python programming language. The service extensively uses in-memory and NoSQL DBs (for signals and model metadata storage). We support service deployment and stability. We have monitoring set up with Prometheus, PagerDuty, Sentry, custom internal APIs with FastAPI).Challenges you will tackleBuild / deploy / support robust highload real-time (ML) system(s) for personalized search and browse experiences.Collaborate with technical and non-technical business partners to develop / update ranking functionalities.Optimize current ranking service performance to process requests faster.Optimize signals delivery and retrieval (aka Feature Store) for ML models inference.Communicate with stakeholders within and outside the team

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