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 have at least 5 years of full-stack development experience and be proficient in Java, Python, and C/C++. You'll be working with cutting-edge technology and collaborating with teams throughout the company to drive solutions that consider multiple stakeholders' needs.
The role offers a competitive salary range of $175,800 to $264,200, along with comprehensive benefits including medical and dental coverage, retirement benefits, stock options, and education reimbursement. This is an excellent opportunity for either a machine learning industry professional or an outstanding engineer looking to expand their expertise in ML project development and deployment.
Working at Apple's Cupertino location, you'll be part of a team that's transforming how millions of people collect, discover, and share special moments through advanced computer vision and machine learning technologies. The position requires someone who enjoys variety, is passionate about new challenges, and can effectively collaborate across teams to deliver innovative solutions.