Machine Learning Systems Infrastructure Engineer - SIML, ISE

Apple's System Intelligent and Machine Learning (SIML) group is seeking a Machine Learning Systems Infrastructure Engineer to join their team. This role is crucial in building the foundation for Apple's computer vision and machine learning technologies, which power essential features like Camera, Text & Handwriting recognition, and Apple Intelligence experiences.

The position involves building sophisticated infrastructure for product-focused machine learning projects, working with terabytes of data across various domains including image generation, LLMs, computer vision, and natural language processing. You'll be responsible for creating systems that analyze algorithm failure modes and report benchmarking results for model comparisons.

As an ideal candidate, you should be adaptable and passionate about tackling new challenges regularly. The role requires collaboration with multiple teams across Apple, driving solutions that consider various stakeholders' needs. Whether you're an experienced ML professional or a skilled engineer looking to expand into machine learning, this position offers an opportunity to work on cutting-edge technologies that impact millions of users.

The role offers competitive compensation, including a base salary range of $166,600 to $250,600, plus additional benefits such as stock options, comprehensive healthcare, and education reimbursement. You'll be part of a team that's transforming how people interact with technology through innovative ML solutions.

Working at Apple's Seattle location, you'll contribute to projects that are fundamental to Apple's ecosystem, including Camera technology, text recognition, and various intelligence features. This role combines technical expertise with the opportunity to shape the future of machine learning infrastructure at one of the world's leading technology companies.