Drimva

Apple

Sr Machine Learning Engineer, Proactive - ML Systems Engineering

$150K–$278K

Cupertino, California · Senior · Full-time · Posted Aug 27, 2026

Experience
3+ years building production machine learning systems.

About the job

Build and ship on-device machine learning systems that power personalized, proactive experiences across Apple devices.

What you'll do

  • Ship software for machine learning systems and develop innovative tools and techniques.
  • Establish scalable automated processes for evaluation and monitoring.
  • Uphold engineering best practices and contribute to a respectful, growth-oriented team culture.

What they ask for

  • 3+ years of experience building production machine learning systems.
  • Proficiency in Python.
  • Proficiency in at least one compiled language, such as C, C++, Objective-C, Swift, Go, Java, Kotlin, C#, or Rust.

Nice to have

  • Experience with ML pipelines and large datasets in production environments.
  • Experience in resource-constrained computing, such as embedded systems or mobile development.

Pay

$150,400 to $277,600 USD base salary

Tools

Python, C, C++, Objective-C, Swift, Go, Java, Kotlin

AI focus

Develop and ship machine learning systems for personalized, proactive experiences, with machine learning running locally on users’ devices.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)