Applied ML Engineering - GenAI, AI Agent

Join Shopify's innovative team as we develop an AI Personal Shopper to transform the online shopping experience. Leveraging cutting-edge AI, including Large Language Models (LLM) and advanced machine learning algorithms, you'll play a pivotal role in delivering personalized recommendations and insightful suggestions tailored to individual preferences. Our goal is to redefine e-commerce by creating a concierge service that enhances how customers interact with Shop and Storefronts. As a Machine Learning Engineering (MLE) lead or individual contributor, you'll be at the forefront of implementing AI systems at scale, directly empowering merchants and creating tangible solutions with real-world impact. Key Responsibilities: Develop and deploy Generative AI, natural language processing, and machine learning models. Design and produce scalable AI/ML system architectures. Implement data pipelines for fine-tuning LLMs. Solve high-impact data problems, delivering business impact through data and machine learning products. Prioritize and communicate effectively with both technical and non-technical audiences. Qualifications: Mastery in building data products using generative AI, RLHF, and fine-tuning LLMs. End-to-end experience in training, evaluating, testing, and deploying machine learning products at scale. Experience in building data pipelines and driving ETL design decisions using disparate data sources. Proficiency in Python, shell scripting, streaming and batch data pipelines, vector databases, DBT, BigQuery, BigTable, or equivalent, and orchestration tools. Experience with running machine learning in parallel environments (e.g., distributed clusters, GPU optimization). 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 redefine e-commerce through AI innovation? Join the team that’s making commerce better for everyone.