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Sr Machine Learning Engineer, ML Systems Engineering

Apple

Salary not specified
Nov 3, 2025
Pittsburgh, PA, US
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Apple's Proactive Intelligence team aims to enhance Apple's products by developing features that anticipate customer needs and deliver personalized experiences through on-device machine learning, ultimately surprising and delighting millions of customers.

Requirements

  • 3+ years of experience building production machine learning systems
  • Proficiency in Python programming
  • Proficiency in at least one compiled language like C, C++, Objective-C, Swift, Go, Java, Kotlin, C-Sharp, or Rust
  • Experience working with ML pipelines and large datasets in production environments
  • Experience with at least one ML framework like JAX, Keras, TensorFlow, Pytorch; XGBoost, LightGBM; or Scikit-learn
  • Experience in resource constrained computing (e.g., embedded systems or mobile development)

Responsibilities

  • ship excellent software for machine learning systems
  • establish scalable automated processes for evaluation and monitoring
  • commit to engineering excellence by upholding best practices that enable us to move quickly with confidence
  • develop innovative tools and techniques that change the way we look at problems
  • integrating new features with highly complex systems
  • learn and deeply understand the way Apple’s software operates in order to deliver new capabilities and features

Other

  • MS in Computer Science or equivalent practical experience
  • obsess over the user experience first, and learn the power of story telling to communicate complex ideas
  • contribute to a healthy team culture where everyone feels respected, empowered, and challenged to grow
  • passionate, creative, and curious engineers
  • ask questions, are eager to teach and learn together, and share a common belief that we can surprise and delight our customers