Apple

Machine Learning Engineer - Agentic AI

Apple
Apply
13 days ago
Sunnyvale, CA, USASenior
H1B sponsor

Responsibilities

  • Design and build end-to-end agentic systems centered on large language models.
  • Integrate LLMs, tools, and data systems to execute multi-step workflows in production.
  • Translate complex problems into reliable, scalable full-stack systems.
  • Evaluate tradeoffs among latency, cost, accuracy, and controllability.
  • Define and evolve architectures for complex, multi-component systems.
  • Take products from concept to launch, including user-facing applications at scale.

Requirements

  • A bachelor's degree is required.
  • Proven knowledge of cutting-edge agentic systems.
  • Demonstrated experience designing and shipping agentic systems in production environments.
  • Strong proficiency with LLM-assisted coding and AI tools for designing, implementing, and iterating on complex systems.
  • Strong system design experience.
  • Experience delivering products from concept to launch in real-world environments.

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.

Contact me