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Home›Jobs›Apple›Machine Learning Engineer - iWork Team
Apple

About Apple

The personal technology company redefining user experience

🏢 Tech, Hardware👥 1001+ employees📅 Founded 1976📍 Cupertino, CA⭐ 4.2
B2CB2BHardwareSaaSTelecommunicationseCommerce

Key Highlights

  • Market cap of $3 trillion as of 2022
  • Over 1 billion active devices worldwide
  • Comprehensive medical plans including mental healthcare
  • Paid parental leave and gradual return-to-work program

Apple Inc. (NASDAQ: AAPL), headquartered in Cupertino, CA, is the world's most valuable company with a market capitalization of $3 trillion as of 2022. Known for its iconic products such as the iPhone, iPad, and Mac, Apple serves over 1 billion active devices globally. The company has a strong commi...

🎁 Benefits

Apple offers comprehensive medical plans covering physical and mental healthcare, paid parental leave, and a gradual return-to-work program. Employees...

🌟 Culture

Apple's culture emphasizes an obsessive focus on user experience and consumer privacy, setting it apart from competitors. The company promotes inclusi...

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Apple

Machine Learning Engineer - iWork Team

Apple • Cupertino, California, United States

Posted 1w ago🏛️ On-SiteMid-LevelMachine learning engineer📍 Cupertino
Apply Now →

Skills & Technologies

PythonTensorFlowKerasMLflow

Job Description

Apple's Keynote team is hiring a machine-learning-focused engineer to design, build, and ship the next generation of AI-powered capabilities within Keynote. You’ll help turn advances in generative models, on-device ML, and system-level intelligence into polished, user-facing features used by millions. Your work will blend ML engineering with product-focused software development, enabling transformative experiences across platforms and driving adoption of key OS technologies. On the Keynote team you will collaborate with ML engineers, developers, and designers to develop cutting-edge AI features that transform how customers create presentations. Your contributions will have a major impact on well-established but dynamic software used and loved by millions of people whose presentations range from school reports to Apple's own Keynote events. You will integrate model-driven functionality deeply into the product, from intelligent content generation to context-aware assistance and automation. You’ll collaborate with researchers, ML platform teams, product engineers, and designers to turn prototypes into reliable and privacy-conscious features. Your work will play a central role in Keynote’s evolution as a modern, AI-enhanced productivity application. This includes building and optimizing ML pipelines, shaping API and data-model design, and helping the team adopt new OS tentpoles and platform capabilities. You’ll also contribute to general feature development outside of ML when needed, ensuring that AI systems interact smoothly with the broader application architecture.

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