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Senior Machine Learning Engineer

Apple· Corporate Functions
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Hybrid (Austin, Texas, United States)not specifiedPosted 7mo ago

About the role

Applied Senior ML Engineer to join Apple Online Retail Decision Automation, driving research and development of algorithms for the Apple Online Store experience, including product search, recommendations, personalization, Generative AI, and scalable infrastructure.

Responsibilities

  • Collaborate with other MLEs to build scalable, production-ready ML solutions, taking algorithms from initial concept through to deployment.
  • Give to the ongoing improvement of our ML infrastructure and tooling.
  • Engage in continuous learning and development, staying up-to-date with the latest advances in machine learning and software engineering.
  • Mentor junior MLEs on the team to ensure best practices are followed.

Qualifications

  • Bachelorʼs degree in Computer Science, Statistics, Mathematics with equivalent experience.
  • 5+ years of related experience building high throughput scalable applications or building machine learning models.
  • Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and experience building distributed systems.
  • Experience building data processing pipelines and large scale machine learning systems with experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc.

Skills

Required:Machine LearningDistributed SystemsPython
Nice to have:JavaC++SparkTensorFlowPyTorchRAG based Generative AI

Benefits

  • Not specified in the description.
Last updated Oct 23, 2026. Interested? Apply on the company site.

About Apple

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