SWE - Machine Learning Technical Lead, Data Engineering

Join Apple's ML Data Ops team as a Technical Lead, where you'll be at the forefront of building high-quality ML datasets that power AI-centric features across Apple's product lineup. This role offers an exceptional opportunity to impact critical features in Camera, Photos app, text input experiences, and generative technologies in Apple Intelligence.

As a Machine Learning Technical Lead in Data Engineering, you'll be responsible for establishing and executing the strategy for Apple's ML data engine. The position requires expertise in handling petabyte-scale data operations and building sophisticated data pipelines. You'll work with various teams, from infrastructure to ML research, ensuring the delivery of high-quality data solutions that drive AI innovation.

The role combines technical leadership with hands-on engineering, requiring both strategic thinking and practical implementation skills. You'll be responsible for identifying and implementing state-of-the-art data components, improving automation workflows, and ensuring proper data governance. This position offers the chance to work on cutting-edge AI technologies while contributing to products used by millions globally.

Working at Apple means joining a company that values innovation and excellence. You'll receive comprehensive benefits, including medical coverage, stock options, and educational support. The compensation package reflects the senior nature of the role, with a competitive base salary range and additional benefits. This is an opportunity to shape the future of AI technology while working with some of the industry's best talents in a collaborative, impact-driven environment.

If you're passionate about ML/AI technology, have strong technical leadership experience, and want to contribute to products that change how people interact with technology, this role offers the perfect blend of challenge and opportunity. You'll be part of a team that's driving the future of AI-centric products, making a real difference in how people experience technology in their daily lives.