
The personal technology company redefining user experience
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...
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Apple • Cupertino, California, United States
Apple is hiring an ML Infrastructure Engineer to develop user experience APIs and integration for on-device machine learning. You'll work with technologies like Python and TensorFlow to enhance AI capabilities across Apple devices. This role requires experience in machine learning and embedded systems.
You have a strong background in machine learning and embedded systems, with experience in developing user experience APIs that enhance the functionality of AI models on devices. You are proficient in Python and have hands-on experience with TensorFlow, enabling you to build and optimize machine learning workflows effectively. Your understanding of embedded Linux systems allows you to integrate complex AI solutions into resource-constrained environments seamlessly. You are passionate about the intersection of software and hardware engineering, and you thrive in collaborative environments where innovative ideas are encouraged. You have a keen interest in optimizing model performance and are familiar with techniques for model compression and acceleration. You are eager to tackle the technical challenges of running sophisticated ML models across a diverse range of Apple devices.
In this role, you will be responsible for developing the essential infrastructure that supports machine learning at scale on Apple devices. You will work on onboarding modern architectures to embedded systems, ensuring that AI models can run efficiently and privately on user devices. Your tasks will include developing optimization toolkits for model compression and acceleration, as well as building ML compilers and runtimes that facilitate efficient execution of machine learning tasks. You will create comprehensive benchmarking and debugging toolchains that will be used across various Apple applications, including Camera, Siri, and Health. Collaborating with cross-functional teams, you will contribute to the overall Apple Intelligence ecosystem, ensuring that machine learning capabilities are seamlessly integrated into user experiences. You will also have the opportunity to influence the direction of machine learning infrastructure at Apple, making a direct impact on how AI operates across the Apple ecosystem.
Apple provides a dynamic work environment where innovation is at the forefront. You will have the chance to work with cutting-edge technologies and contribute to projects that impact millions of users worldwide. The company values diversity and inclusion, fostering a culture where every employee can thrive. You will receive competitive compensation and benefits, along with opportunities for professional growth and development within the organization. Join us at Apple to be part of a team that is shaping the future of machine learning and AI integration in everyday technology.
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