About Apple
The personal technology company redefining user experience
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...
Skills & Technologies
Overview
Apple is hiring an On-device ML Infrastructure Engineer to build essential infrastructure for machine learning on Apple devices. You'll work with compilers, runtimes, and optimization toolkits. This role requires expertise in machine learning and system software engineering.
Job Description
Who you are
You have a strong background in machine learning and system software engineering, with experience in building infrastructure that supports AI applications. You understand the intricacies of compiler design and runtime systems, and you are skilled in optimizing performance for various hardware architectures. Your passion for technology drives you to stay updated on the latest advancements in machine learning and AI. You thrive in collaborative environments, working closely with cross-functional teams to bring innovative solutions to life. You are detail-oriented and enjoy tackling complex technical challenges, ensuring that the systems you build are efficient and reliable. You are eager to contribute to the evolution of machine learning at Apple, impacting millions of users worldwide.
Desirable
Experience with embedded systems and optimization techniques is a plus. Familiarity with Apple's hardware and software ecosystem will help you excel in this role. A background in research or advanced studies in machine learning or computer science can set you apart.
What you'll do
In this role, you will be at the forefront of integrating cutting-edge machine learning capabilities into Apple devices. You will develop and optimize compilers and runtime systems that enable efficient execution of machine learning models across a wide range of devices. Your work will involve creating benchmarking and debugging toolchains that ensure the reliability and performance of machine learning workflows. You will collaborate with hardware engineers to onboard powerful architectures to embedded systems, ensuring that machine learning applications run smoothly and efficiently. You will also contribute to the development of optimization toolkits for model compression and acceleration, enhancing the performance of AI applications on resource-constrained devices. Your contributions will directly impact the user experience across various Apple services, including Camera, Siri, and Health.
What we offer
Apple provides a dynamic work environment where innovation thrives. You will have the opportunity to work with some of the brightest minds in the industry, contributing to projects that shape the future of technology. We offer competitive compensation and benefits, along with a culture that values creativity and collaboration. You will be part of a team that is dedicated to pushing the boundaries of what is possible with machine learning, making a real difference in the lives of users around the globe. Join us and be part of a mission that transforms the way people interact with technology.
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