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Home›Jobs›Apple›AIML - Sr. Applied Machine Learning Engineer - Answers, Knowledge & Information (AKI)
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 - Sr. Applied Machine Learning Engineer - Answers, Knowledge & Information (AKI)

Apple • Santa Clara, California, United States

Posted 3d ago🏛️ On-SiteSeniorMachine learning engineer📍 Santa clara
Apply Now →

Skills & Technologies

PyTorchTensorFlowJaxGoSwiftPythonC++Java

Overview

Apple is hiring a Senior Applied Machine Learning Engineer for their Answers, Knowledge & Information team to enhance Siri and other products. You'll utilize skills in PyTorch, TensorFlow, and programming languages like Go and Swift. This role requires 3+ years of experience in applied machine learning.

Job Description

Who you are

You have a strong background in applied machine learning with at least 3 years of industry experience, demonstrating your ability to work collaboratively in diverse teams. Your expertise includes using frameworks like PyTorch, TensorFlow, or JAX for training and deploying deep learning models. You are proficient in at least two programming languages such as Go, Swift, Python, C/C++, or Java, showcasing your versatility in software engineering. You are passionate about enhancing user experiences through intelligent systems and have a keen interest in real-time information retrieval and generation.

Desirable

Experience with distributed systems and user-facing production services is a plus, as is familiarity with information safety and search technologies. You thrive in environments that challenge your technical skills and allow you to contribute to innovative projects that impact millions of users.

What you'll do

As a Senior Applied Machine Learning Engineer at Apple, you will be part of a team that is redefining how users interact with their devices. Your role will involve shaping upcoming products by leveraging the latest advancements in machine learning. You will work on understanding user queries and intents, retrieving and ranking documents, and generating helpful answers. You will also engage in horizontal areas such as data generation, evaluation, and safety, ensuring that the solutions you develop are robust and reliable.

You will collaborate closely with other engineers and stakeholders to design and implement machine learning models that enhance the functionality of Apple products like Siri, Spotlight, and Safari. Your contributions will directly influence the user experience, making it more intuitive and efficient. You will be expected to stay updated with the latest trends in machine learning and apply them to your work, pushing the boundaries of what is possible in information retrieval and generation.

What we offer

Apple offers a dynamic work environment where innovation is at the forefront. You will have the opportunity to work with cutting-edge technologies and be part of a team that values diversity and inclusion. We encourage you to apply even if your experience doesn't match every requirement, as we believe that diverse perspectives lead to better solutions. Join us in our mission to make technology more accessible and intelligent for everyone.

Interested in this role?

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