Machine Learning Systems - Front End Engineer

Our team is at the forefront of building next-generation systems and tools that support the research and development of machine learning models at Apple. We're a dynamic, highly skilled team focused on creating tools and systems that enable Apple's MLEs and data scientists to build, test, and deploy their products effectively. Our mission is to develop ML systems and tools that support the entire product development cycle - from data acquisition and synthesis to training, evaluation, and serving.

As a Front End Engineer on our team, you'll be responsible for crafting the user interface of these sophisticated ML systems and AI-powered tools. You'll need to leverage your creativity and problem-solving skills to develop scalable, maintainable, and cost-effective solutions that meet the needs of our machine learning engineers and data scientists.

The role requires someone who can thrive in a fast-paced environment while maintaining high standards for code quality and system design. You'll be working with cutting-edge ML technologies and contributing to systems that directly impact Apple's product development process. Success in this role requires not just technical expertise, but also a strong sense of shared ownership and the ability to collaborate effectively in a team setting.

This is an opportunity to work on challenging problems at scale, with direct impact on how Apple develops and deploys machine learning across its products. You'll be joining a team that values innovation, technical excellence, and the ability to deliver systems that "just work" while handling complex requirements and massive scale.

The position offers competitive compensation, including base pay between $181,100 and $318,400, along with comprehensive benefits including stock options, health coverage, and educational support. Join us in shaping the future of machine learning infrastructure at Apple.