Machine Learning Engineer • Mid-Level

Who you are

You have a strong background in machine learning and data engineering, with experience in developing large-scale ML systems that can handle complex data challenges. Your expertise in computer vision and natural language processing allows you to contribute to innovative projects that impact millions of users. You thrive in collaborative environments, working closely with multidisciplinary teams to drive research initiatives and product development.

You are skilled in designing and implementing robust model evaluation pipelines and data generation frameworks. Your ability to challenge existing metrics and protocols demonstrates your commitment to continuous improvement and innovation in the field of machine learning. You are passionate about exploring new methods and practices that can transform how data is understood and utilized.

What you'll do

As a Machine Learning Engineer at Apple, you will be responsible for innovating and applying cutting-edge research in machine learning to solve real-world data problems. You will collaborate with machine learning researchers, engineers, and data scientists to develop transformative products that enhance Apple Intelligence. Your role will involve designing and developing comprehensive data generation and curation frameworks for Apple’s foundation models, ensuring that they are robust and effective.

You will actively participate in the data-model co-design and co-development practices within the Apple Intelligence team. Your contributions will significantly impact future Apple products and the broader machine learning development ecosystem. You will be entrusted with the critical task of building model evaluation pipelines that are integral to the success of Apple’s AI initiatives.

What we offer

Apple provides a dynamic work environment where innovation is at the forefront of everything we do. You will have the opportunity to work on groundbreaking technology that impacts billions of users worldwide. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in shaping the future of technology at Apple.