Machine Learning Systems Infrastructure Engineer - SIML, ISE

Do you think Computer Vision and Machine Learning can change the world? We are the System Intelligent and Machine Learning (SIML) group at Apple that provides foundational computer vision and machine learning technologies to Apple's ecosystem. Our work powers essential features like Camera, Text & Handwriting recognition, and Apple Intelligence experiences.

In this role, you'll be at the forefront of building infrastructure that supports product-focused machine learning projects. You'll develop systems that leverage ML to index terabytes of data across various domains including image generation, LLMs, computer vision, NLP, and text recognition. Your work will be crucial in defining and implementing systems for algorithm failure analysis and benchmarking model comparisons.

As an ideal candidate, you thrive on variety and are passionate about tackling new challenges. You excel at collaborating across teams and driving solutions that consider multiple stakeholders. Whether you're an ML industry veteran or an outstanding engineer looking to expand into ML, you'll have the opportunity to work on cutting-edge projects from inception to release.

The role offers competitive compensation ($166,600-$250,600) plus equity opportunities through stock programs. Benefits include comprehensive medical/dental coverage, retirement plans, education reimbursement, and potential bonuses. You'll be part of a team that's transforming how millions of people collect, discover, and share life's special moments through innovative ML technologies.

Join us in building the future of computer vision and machine learning at Apple, where your work will directly impact products used by millions of people worldwide.