Apple

Sr Machine Learning Engineer, ML Systems Engineering - Proactive

Apple
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2 days ago
Pittsburgh, PA, USASenior
H1B sponsor

Responsibilities

  • Design, implement, and evaluate production machine learning and agentic systems using multimodal inputs.
  • Plan and conduct experiments and debug and optimize agentic machine learning applications.
  • Build scalable automated processes for evaluation and monitoring.
  • Ship software and develop innovative tools and techniques for personalized intelligent experiences across Apple devices.
  • Contribute to engineering excellence, team culture, knowledge sharing, and communication of complex ideas.

Requirements

  • 4+ years of experience building production machine learning systems.
  • MS in Computer Science or equivalent practical experience.
  • Proficiency in Python programming.
  • Proficiency in at least one compiled language such as C, C++, Objective-C, Swift, Go, Java, Kotlin, C#, or Rust.
  • Preferred: production experience training, deploying, and evaluating autonomous agentic systems.
  • Preferred: production experience with ML pipelines and large datasets.
  • Preferred: experience with resource-constrained computing, embedded systems, or mobile development.
  • Preferred: proficiency using AI agent assistance in software development workflows.

Tech Stack

CC#C++GoJavaKotlinObjective-CPythonRustSwift

Categories

Apple

About Apple

10,000+ employees

Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.

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