Teams at Bloomreach

Design, build, and operate production machine learning systems for Bloomreach’s search platform. Responsibilities include query-time ML, LLM and catalog data pipelines, model serving, online features, evaluation, A/B testing, observability, and low-latency optimization across merchants, languages, and domains. The role partners with Search Quality engineers to deploy ranking and relevance models reliably and cost-effectively at scale.

Build and maintain customer-facing dashboard features across frontend and backend using React.js, Spring Boot, and Python. Develop REST APIs, data pipelines, and responsive UIs; participate in design, code reviews, testing, and production support to improve reliability and performance. Collaborate with Product and Design to deliver features and continuously improve developer productivity and application quality.

Lead the technical roadmap, architecture, development, evaluation, and productionization of machine learning and AI solutions for search relevance. Build models using queries, product catalogs, and behavioral data; integrate scalable ML components into cloud systems; analyze search quality; mentor engineers; and influence cross-functional engineering and product decisions.