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Home›Jobs›Apple›LLM Machine Learning Research Engineer, Model Optimization & Algorithms Development
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

LLM Machine Learning Research Engineer, Model Optimization & Algorithms Development

Apple • Seattle, Washington, United States

Posted 1 month ago🏛️ On-SiteMid-LevelAi research engineer📍 Seattle
Apply Now →

Skills & Technologies

Machine learningNeural networksModel optimizationAlgorithms

Job Description

The Apple Intelligence Model Optimization and Algorithms Development team brings innovative AI research into Apple products. We are looking for strong Machine Learning Applied Scientists and Research Engineers to build ground breaking server-based and on-device large machine learning capabilities and emerging innovations. We are part of a collaborative group of software developers and deep learning experts working in the area of neural network optimization and related algorithms. Successful candidates will have a strong software engineering background, zero-to-one machine learning development experience, and broad expertise in machine learning model optimization (quality optimization, performance optimization, etc).

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