Machine Learning Engineer - Product Marketing Customer Analytics

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Not verified last checked Jun 13, 2026

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401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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About this role

Machine Learning Engineer - Product Marketing Customer Analytics Cupertino, United States of America At Apple, new ideas have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! The Product Marketing Customer Analytics team is seeking a Machine Learning Engineer with deep technical experience in predictive analytics and analytic engineering. Support Product Marketing, Investor Relations, and the Executive Team with predictive analytics for customer product and services engagement. Understand product requirements then translate them into modeling tasks and engineering tasks Develop scalable ML algorithms and models to understand customer behavior and provide leadership with actionable insights and recommendations Design and implement end-to-end machine learning pipelines-from feature engineering to model serving- using best in class MLOps frameworks Develop and optimize deep learning and traditional ML solutions on high-volume datasets using GPU clusters or distributed CPU environments. Experiment with cutting-edge algorithms, providing advanced insights into customer behavior and engagement. Manage ML projects through all phases, including data quality, algorithm/feature development, predictive modeling, visualization, and deployment and maintenance. Tackle difficult, non-routine analysis/prediction problems, applying advanced ML methods as needed. Partner with peers to build and prototype analysis pipelines that provide insights at scale. Collaborate with data engineers and infrastructure partners to implement robust solutions and operationalize models. Enhance and evolve solutions to meet changing business needs with agility. Minimum Qualifications: 8+ years of hands-on programming skills for large-scale data processing Graduate degree required in Computer Science,

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