This listing does not state pay. Across 64 open machine learning engineer listings that state pay, the middle half runs $189,000 to $263,000 and the median is $210,000.

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How AI is used in this kind of work

Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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Apple has filed 4 layoff notices in the last twelve months, covering 225 workers, most recently August 2026. These are public filings with state labor departments, and an open role can sit alongside them. See the filings

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About the job

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.