Machine Learning Engineer • Mid-Level

Who you are

You have experience working as a software engineer on large production systems — you've contributed to the stability and performance of complex applications and understand the intricacies of cloud computing. Your programming skills in Swift, C, and C++ are strong, and you are familiar with iOS and macOS development environments, particularly XCode. You have practical experience running machine learning models and evaluating them for quality and performance metrics, which allows you to integrate cutting-edge research into production systems effectively.

Familiarity with the Apple ML stack, including ANE, CoreML, and MPS/Metal, is a plus — you understand how to leverage these tools to optimize machine learning tasks on Apple hardware. You thrive in collaborative environments, valuing the opinions and experiences of your teammates while contributing your own expertise to drive projects forward. You are committed to writing performant and scalable code that enhances user experience and system reliability.

What you'll do

As a Machine Learning Software Engineer at Apple, you will be part of a team focused on building ML-inference applications and services on Apple Silicon. Your primary responsibility will be to engineer continuous improvements in the stability and performance of private cloud compute. You will collaborate with product teams throughout Apple to implement new functionalities that emerge from the research community, ensuring that user traffic is served reliably and performantly.

You will write scalable frameworks in Swift and C++ to distribute and coordinate ML inference tasks across various hardware acceleration IP blocks on different SoCs. Your role will involve integrating inference code into a full service stack, which requires a strong focus on developing code that is easy and safe to develop, update, and monitor. You will also engage in discussions about best practices and contribute to the overall quality of the team's output, striving for excellence in every aspect of your work.

What we offer

At Apple, you will be part of a highly skilled and friendly engineering team that values collaboration and innovation. We encourage you to apply even if your experience doesn't match every requirement, as we believe in the potential of diverse backgrounds and perspectives. You will have opportunities for professional growth and development, working on cutting-edge technologies that shape the future of machine learning and cloud computing. Join us in our mission to create exceptional products that enhance the lives of millions of users worldwide.