Apple /

Machine Learning Engineer, Sales Engineering

Company
Apple
Location
United States of America
Employment type
Full time
Team
Software and Services
Posted
Oct 29, 2026

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Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. Apple’s Sales Engineering team is shaping the future of Channel Sales with innovative, high-impact applications. We’re looking for a Machine Learning Engineer to help us design and build the next generation of intelligent systems that power Apple’s global partner ecosystem. In this role, you’ll develop and deploy machine learning solutions while leveraging generative AI and advanced ML capabilities to deliver scalable, production-ready systems that accelerate strategic, high-impact initiatives across Apple Channel Sales. If you’re passionate about applying AI to solve complex business problems, experimenting with emerging GenAI technologies, and building products that make a real difference, join our collaborative team and help us move fast on game-changing ideas.

Sales and Operations Engineering is part of IS&T and drives the technology behind Apple's global operations, sales, and supply chain. The team connects the systems that move products from factory to customer — bridging sales platforms with the operational infrastructure that keeps Apple running at scale and ensuring Apple's technology and business priorities move in lockstep. We are looking for people with consistent record of running complex cross functional projects under demanding timelines. This is a hands-on position where the Project Manager will be involved in building strong relationships with stakeholders, requirement analysis, functional and technical design discussions, driving project deadlines, and communicating project status to senior leadership.

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