Senior Engineer, Search Relevance
About the role
As a Search Relevance Engineer at Shopify, you are at the intersection of our engineering and data science organizations. You'll be designing and implementing cutting-edge, AI-powered search and discovery solutions, directly empowering our merchants. We're all about creating tangible solutions that make a real difference in the day to day lives of entrepreneurs.
If you thrive on change, and are constantly seeking growth and higher mastery, then this is the right place for you. At Shopify, we operate on low process and high trust, and we're not afraid to step out of our comfort zones to push the boundaries of what's possible. So if you're ready to join our team of driven crafters building world-class search and discovery experiences, then we want to hear from you.
You'll be doing things like
Working with data scientists and engineers to productionize cutting-edge data products via load testing, metrics analysis, and offline and online experimentation, so they can scale to support millions of buyers around the world
Designing and implementing features to improve the relevance of search and recommendation experiences, including semantic search, query understanding, and personalization
Building and maintaining data pipelines to power our information retrieval systems
Tuning the ElasticSearch queries that power our search and discovery experiences
Designing, building and crafting tools for evaluation and relevance engineering, adhering to high-quality software engineering principles and best practices
Prioritizing and communicating to technical and non-technical audiences alike
Mentoring engineers and data scientists
What you bring to the team
Demonstrated mastery of relevance engineering, with a deep understanding of discovery and recommendation systems powered by ElasticSearch, Solr, Lucene, and/or vector databases
Extensive experience using Python, including a strong grasp of object oriented programming (OOP) fundamentals
An understanding of how to write efficient and optimized code with low latency requirements
A strong software development background, with proven experience, problem-solving skills, and technical system thinking
It would be great if you have:
End-to-end experience of training, evaluating, testing and deploying machine learning, natural language processing, document reranking, and/or generative AI products at scale
Experience with statistical methods like regression, GLMs or experiment design and analysis, other advanced techniques are also welcome
Exposure to other languages such as Ruby, Rails, Typescript