Americas Engineering \& Data About the role At Shopify, our Applied Machine Learning Engineers tackle the most challenging technical problems in commerce. By leveraging vast datasets and cutting\-edge machine learning technologies, like multimodal LLMs, embeddings, etc., you will develop ways that redefine how merchants connect with buyers. Your work will empower merchants with advanced tools and systems that enhance search, discovery, and agents at a global scale. As a Senior Staff Applied Machine Learning Engineer with Catalogue Team, you'll play a critical role in driving innovation and excellence. The Catalogue Team is at the core of Shopify’s vision to consolidate millions of products from individual Shopify shops into one unified catalog. By providing seamless cross\-shop product discovery and recommendation capabilities, you will enable AI\-powered shopping experiences that span multiple stores, supporting new surfaces like answer engines and intelligent agents. The global catalogue represents Shopify's bold vision to make it easier for merchants to gain unparalleled visibility and for developers to build groundbreaking commerce experiences, delivering unified access to the world’s best product offerings. You will be instrumental in building a structured information system that transforms images, text, and data from varied sources, leading to a seamless and enriched product search and merchant experience. **Key Responsibilities:** Analyze and interpret large\-scale datasets to drive model development and optimization. Collaborate with cross\-functional teams including the Foundation Models and Shop App teams to integrate ML solutions. Design, build, and deploy agents and multimodal LLMs that improve merchant and buyer interactions. Execute well on defined problems and learn continuously, pushing the boundaries of traditional approaches. Ensure high quality in product clustering on a large scale, maintaining the highest product standards. Prototype and experiment at large\-scale, building top\-tier models and their lightweight distillations. Engage extensively in coding, fostering rapid iteration and improvement. Solve high\-value problems with hands\-on technical direction and leadership Inspire and mentor team members, facilitating cross\-team coordination to maximize the influence of machine learning innovations Document and share technical insights and best practices, leading by example in craftsmanship Attract top talent and participate actively in candidate assessment and interviewing. **Qualifications:** Experience solving high value problems at the organization level Extensive experience in building and deploying machine learning models at scale, with proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and programming languages like Python LLM tuning and evaluation experience Proven hands\-on coding ability with a focus on quality, efficiency, and innovation. Curious and willing to read and understand academic papers to explore and test new solutions Strong mathematical and computer science fundamentals, with a problem\-solving mindset that thrives on challenges Excellent communication skills and the ability to work in a fast\-paced, collaborative environment. Ability to anticipate future technical challenges and innovate solutions proactively. Why Join the Catalogue Team? Dive into challenging technical problems, shaping the future of ecommerce through innovation in product embeddings and AI systems Connect with top\-tier cross\-functional teams, influencing product quality and merchant experiences at internet scale Lead the design and implementation of a world\-class product API for transformative ecommerce applications 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 live pair programming session, come prepared with your own IDE. This role may require on\-call work About Shopify Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to over 8,300 employees and generated over $1 trillion in sales for millions of merchants in 175 countries. This is life\-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option. About you Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone. **Before you apply, consider if you can:** Care deeply about what you do and about making commerce better for everyone Excel by seeking professional and personal hypergrowth Keep up with an unrelenting pace (the week, not the quarter) Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change Bring critical thought and opinion Use AI tools reflexively as part of your fundamental workflow Embrace differences and disagreement to get shit done and move forward Work digital\-first for your daily work Shopifyhttps://www.shopify.com We hire people, not resumes. If you think you’re right for the role, apply now. First things first We want to ensure you’re the type of person who will thrive here so we can move you quickly through our hiring process. Before completing the job application, please check all the statements that apply to you below: I care deeply about what I do I am always seeking new (sometimes uncomfortable) growth I thrive on change in an ambiguous environment I get shit done and can keep pace to ship weekly I have a history of being resilient and resourceful I want to make commerce better for everyone It looks like you might not be a great fit for Shopify at this time — while we encourge everyone to apply, we are looking for someone who can meet all these criteria.