AIML - Sr Frontend Engineer, Data and ML Innovation

Are you excited to tackle some of the most ambitious technical challenges in Apple Intelligence? As a Senior Frontend Engineer in Apple's AI and Machine Learning organization, you'll be at the forefront of developing transformative products that impact billions of users worldwide.

The Data and Machine Learning Innovation (DMLI) team is seeking an experienced frontend engineer to build world-class data solutions that power Apple's Foundation Model lifecycle. You'll work closely with machine learning researchers, engineers, and data scientists to create innovative solutions that support groundbreaking research initiatives.

In this role, you'll design and develop cutting-edge front-end features using microservices architecture for internal web applications. Your expertise in JavaScript, React/Redux, TypeScript, HTML, and CSS will be essential as you create intuitive interfaces that enable data scientists and ML engineers to work efficiently.

You'll be responsible for analyzing business requirements, identifying gaps, and translating requirements into technical designs. The role requires adherence to software development best practices, including agile methodologies, code reviews, continuous integration, and automated testing. You'll collaborate closely with project managers, UI/UX designers, and other stakeholders to define requirements, estimate efforts, and deliver high-quality work on schedule.

This is an opportunity to join a team that encourages innovation in large-scale ML systems, computer vision, natural language processing, and multi-modal understanding and generation. Your work will directly contribute to Apple's AI initiatives and help shape the future of machine learning technologies.

The position offers competitive compensation, including a base salary range of $166,600 to $296,300, plus additional benefits such as stock options, comprehensive healthcare, and educational support. Join us in Seattle and be part of a team that's pushing the boundaries of what's possible in AI and machine learning.