About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Overview You'll join a critical and innovative Salesforce Commerce project, advancing online shopping into the realm of agentic commerce. As an ML engineer, you'll work at the intersection of large-scale backend systems and machine learning applications. This role emphasizes integration with the ML ecosystem-leveraging models, embeddings, retrieval pipelines, and inference services-but is not primarily focused on model development. You will design and build systems that make intelligent use of ML functionality and ensure that MLâenabled features are reliable, performant, and seamlessly integrated with core services. Strong awareness of ML concepts (such as model lifecycle, training/inference trade-offs, and evaluation principles) is essential, as your work will ensure that the end-to-end agentic shopping platform functions seamlessly and scales effectively. You will frequently collaborate with ML research and ML platform teams to integrate, deploy, and monitor intelligent systems that enhance the shopper experience. We value a start-up mentality-people who learn fast, innovate quickly, and leverage both Salesforce and industry tools for rapid iteration. Your Impact You will help shape this high-impact project from its earliest version to commercial success, driving industry innovation in agentic shopping. By continuously learning and adapting as new design patterns for LLM-enabled products emerge, you'll play a key role in setting the direction for next-generation machine learning-driven shopping experiences.
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Job Type
Full-time
Career Level
Mid Level
Industry
Publishing Industries
Number of Employees
5,001-10,000 employees