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Home›Jobs›Apple›AIML - Staff Machine Learning Engineer - Answers, Knowledge & Information
Apple

About Apple

The personal technology company redefining user experience

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

AIML - Staff Machine Learning Engineer - Answers, Knowledge & Information

Apple • Cupertino, California, United States

Posted 3w ago🏛️ On-SiteStaffMachine learning engineer📍 Cupertino
Apply Now →

Skills & Technologies

PyTorchTensorFlowJax

Overview

Apple is hiring a Staff Machine Learning Engineer for the Answers, Knowledge & Information team to enhance Siri and other Apple products. You'll leverage advanced ML techniques and work with PyTorch, TensorFlow, and JAX. This position requires 5+ years of applied machine learning experience.

Job Description

Who you are

You have a Master's degree in Computer Science or a related field and over 5 years of industry experience in applied machine learning. Your background includes working collaboratively in diverse teams, where you've utilized your strong software engineering skills to tackle complex problems. You are proficient in using PyTorch, TensorFlow, and JAX for training and deploying deep learning models, and you understand product requirements, translating them into actionable modeling and engineering tasks. Your experience includes building and optimizing production services, ensuring they meet the needs of hundreds of millions of users. You thrive in environments that challenge your technical abilities and allow you to contribute to innovative projects that redefine user experiences.

Desirable

Experience with large language models (LLMs) and search technologies is a plus, as is familiarity with online inference optimization techniques. You are comfortable working in a fast-paced environment and are eager to shape the future of Apple products through your contributions.

What you'll do

As a Staff Machine Learning Engineer at Apple, you will be part of a team that is redefining how users interact with their devices. You will leverage the latest advancements in machine learning to enhance Siri's capabilities, improve assistant response ranking, and optimize search technologies. Your role will involve training and deploying models at scale, ensuring that they perform efficiently in production environments. You will collaborate with a diverse group of engineers, sharing your expertise and learning from others as you work on projects that impact millions of users. You will also be responsible for understanding product requirements and translating them into effective modeling tasks, contributing to the overall success of the team.

What we offer

Apple offers a unique opportunity to work on cutting-edge technology that shapes the future of user interaction. You will be part of a culture that values diversity and inclusion, where your ideas and contributions are recognized and celebrated. The role provides a chance to work with some of the brightest minds in the industry, pushing the boundaries of what is possible with machine learning. You will have access to resources and support that enable you to grow your skills and advance your career within the company. Join us in making Apple products smarter and more intuitive for users around the world.

Interested in this role?

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