Search Relevance Engineers

Step into the intersection of engineering and data science at Shopify as a Search Relevance Engineer. You'll be designing and implementing AI-powered search and discovery solutions that empower our merchants and revolutionize their experiences. In a role that thrives on change and mastery, you'll push the boundaries of what's possible, crafting tangible solutions that make a real difference in the daily lives of entrepreneurs. Key Responsibilities: Collaborate with data scientists and engineers to productionize data products through load testing, metrics analysis, and experimentation. Design and implement features to enhance search and recommendation relevance, including semantic search, query understanding, and personalization. Build and maintain data pipelines for information retrieval systems. Tune queries that power search and discovery experiences. Develop tools for evaluation and relevance engineering, adhering to high-quality software engineering practices. Prioritize and communicate effectively with both technical and non-technical audiences. Mentor engineers and data scientists. Qualifications: Mastery of relevance engineering, with experience in discovery and recommendation systems powered by Elasticsearch, Solr, Lucene, or vector databases. Extensive experience using Python, with a strong grasp of object-oriented programming (OOP) fundamentals. Ability to write efficient, optimized code with low latency requirements. Strong software development background, with proven problem-solving skills and technical system thinking. Experience in training, evaluating, testing, and deploying machine learning, natural language processing, or generative AI products at scale is a plus. Familiarity with statistical methods like regression, GLMs, or experiment design and analysis is welcome. Exposure to other languages such as Ruby, Rails, Rust, or Typescript is advantageous. This role may require on-call work. At Shopify, we pride ourselves on moving quickly—not just in shipping, but in our hiring process as well. If you’re ready to apply, please be prepared to interview with us within the week. Our goal is to complete the entire interview loop within 30 days. You will be expected to complete a pair programming interview, using your own IDE. This role may require on-call work. Ready to join a team of driven crafters building world-class search and discovery experiences? Join us and make commerce better for everyone.