AIML - Staff Machine Learning Engineer, ML Platform & Technology

Apple is seeking a Staff Machine Learning Engineer to join their ML Platform & Technology team in Seattle. This role presents an exciting opportunity to shape the future of AI at one of the world's most innovative technology companies. As a key member of the team, you'll be responsible for building the training platform that engineers rely on to develop next-generation Apple Intelligence products and services.

The position offers a unique blend of cutting-edge machine learning engineering and platform development, with a focus on creating scalable training solutions for deep learning models. You'll work alongside world-class experts in machine learning and computational science, contributing to high-impact projects that influence Apple's AI-driven experiences across their product ecosystem.

What makes this role particularly attractive is the emphasis on innovation and knowledge sharing. You'll have opportunities to publish your work at top ML conferences and contribute to open-source projects, allowing you to make a mark in the broader ML community while working on proprietary technology at Apple.

The compensation package is comprehensive, including a competitive base salary range of $166,600 to $296,300, plus additional benefits such as stock options, medical coverage, and education reimbursement. The team culture promotes respect, flexibility, and continuous growth opportunities.

Key responsibilities include designing and developing components for Apple's centralized ML platform, optimizing large-scale training solutions, and deploying novel techniques across various AI initiatives. You'll need strong Python programming skills, experience with deep learning frameworks, and expertise in distributed systems.

This role is ideal for someone with 7+ years of industry experience who wants to push the boundaries of ML infrastructure while working on meaningful projects that impact millions of users. The position offers the perfect balance of technical challenge, innovation opportunity, and career growth at one of the most respected companies in technology.