ML Software Engineer

Apple's ML Software Engineering team is at the forefront of building ML-inference applications and services on Apple Silicon in the datacenter, with a recent focus on generative AI within the Private Cloud Compute component of Apple Intelligence. The role involves working with a team of highly skilled engineers to develop and maintain large-scale ML systems. You'll be part of a collaborative environment that values expertise and quality, working on cutting-edge technology that impacts millions of users.

The position requires strong software engineering skills, particularly in Swift and C++, combined with practical machine learning experience. You'll be responsible for building scalable frameworks that distribute and coordinate ML inference tasks across different hardware acceleration IP blocks on various SoCs. The team emphasizes both technical excellence and collaborative problem-solving, making it an ideal environment for engineers who enjoy working at the intersection of machine learning and systems engineering.

As a senior member of the team, you'll have the opportunity to influence the architecture of mission-critical systems while working with product teams throughout Apple. The role offers competitive compensation, including base pay, stock options, and comprehensive benefits. This is an excellent opportunity for experienced engineers who want to work on challenging problems in machine learning infrastructure at scale while contributing to Apple's next-generation AI capabilities.