Apple

About Apple

The personal technology company redefining user experience

🏒 Tech, HardwareπŸ‘₯ 1001+ employeesπŸ“… Founded 1976πŸ“ 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...

Apple

Machine Learning Engineer β€’ Mid-Level

Apple β€’ Seattle - On-Site

Apply Now β†’

Overview

Apple is hiring a Machine Learning Engineer to develop advanced ML models for Natural Language Generation. You'll work on features like Summarization and Smart Reply, utilizing skills in Machine Learning and Natural Language Processing. This role is based in Seattle.

Job Description

Who you are

You have a strong background in machine learning and natural language processing, with experience in developing and deploying ML models that enhance user experiences. You are proficient in Python and have a solid understanding of the principles of generative AI, which allows you to contribute effectively to the team’s goals. You thrive in collaborative environments and enjoy working closely with cross-functional teams to integrate innovative solutions into Apple products.

You are detail-oriented and possess excellent problem-solving skills, enabling you to refine training and evaluation pipelines that drive the performance of ML models. Your ability to communicate complex technical concepts clearly makes you a valuable team member, as you can bridge the gap between technical and non-technical stakeholders. You are passionate about improving user experiences through technology and are eager to contribute to projects that have a meaningful impact on everyday users.

Desirable

Experience with large-scale data processing and familiarity with privacy-preserving machine learning techniques would be a plus. You may also have knowledge of various ML frameworks and libraries, which can enhance your contributions to the team.

What you'll do

As a Machine Learning Engineer at Apple, you will be responsible for developing the next generation of ML models that improve language understanding and personalized text composition across Apple platforms. You will work on features such as Summarization and Smart Reply, ensuring they meet the diverse needs of users. Your role will involve building, running, and refining training and evaluation pipelines, driving focused experimentation and iteration to enhance user experiences.

You will collaborate with teams across Apple, including those focused on human interfaces, user studies, and internationalization, to ensure that the ML models you develop are effective and user-friendly. Your contributions will help shape the future of generative AI at Apple, allowing users to digest information more easily and express themselves clearly.

You will also have the opportunity to integrate the latest innovations from the ML community into your work, ensuring that Apple remains at the forefront of technology. Your insights and expertise will be crucial in driving the success of the projects you are involved in, and you will play a key role in shaping the direction of the Input Experience NLP team.

What we offer

Apple provides a collaborative and inclusive work environment where you can thrive and grow your career. You will have access to cutting-edge technology and resources that enable you to push the boundaries of what is possible in machine learning and natural language processing. The company values diversity and encourages you to apply even if your experience doesn't match every requirement. You will be part of a team that is committed to making a positive impact on users' lives through innovative technology.

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