Apple

Machine Learning Engineer, (Applied Machine Learning), AI & Data Platforms (AiDP)

Apple
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23 hours ago
Sunnyvale, CA, USAMid Level
H1B sponsor

Responsibilities

  • Design, build, and evolve machine learning models, tools, and applications for enterprise generative AI experiences.
  • Architect and optimize AI and generative AI systems for high availability, scalability, and reliability.
  • Work across backend services and application layers to deliver large-scale AI systems.
  • Develop, fine-tune, and deploy machine learning and generative AI models at scale.

Requirements

  • At least 2 years of hands-on applied AI or machine learning industry experience, or at least 4 years of hands-on AI research and development experience in academia.
  • Demonstrated expertise in generative AI, computer vision, natural language processing, or general machine learning.
  • Bachelor of Science in Computer Science, Machine Learning, or equivalent work experience.
  • Experience with machine learning frameworks for training, fine-tuning, and deploying models at scale.
  • Preferred: MS or PhD in Machine Learning, Natural Language Processing, Computer Vision, or a related area.
  • Preferred: Proven experience building large-scale, enterprise-grade ML or generative AI products in cloud environments or on-premises infrastructure.
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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