Apple's Online Store team is seeking a passionate Machine Learning Engineer to drive innovation in their digital retail experience. As part of the Online Retail Decision Automation team, you'll lead the development of cutting-edge algorithms that power product search, recommendation systems, personalization, and Generative AI applications. This role offers the unique opportunity to impact millions of Apple customers daily through the company's largest store platform.
The position combines advanced machine learning expertise with practical software development, requiring collaboration across multiple teams including researchers, engineers, and product managers. You'll be responsible for developing and implementing scalable ML solutions that enhance the customer experience on Apple's online platform.
Key focus areas include recommendation systems for ranking and page generation, personalization features for messaging and marketing, and optimization of Apple-wide systems. The role demands expertise in building large-scale machine learning systems, with experience in technologies like Spark, SQL, and modern ML frameworks.
This is an exceptional opportunity for someone who wants to work at the intersection of e-commerce and artificial intelligence, applying advanced ML techniques to real-world challenges. You'll be part of a team that values continuous learning and innovation, with access to Apple's comprehensive benefits package and the chance to contribute to one of the world's most influential technology companies.
The ideal candidate will bring both technical expertise and leadership qualities, as you'll be expected to mentor other MLEs while driving the technical direction of critical projects. This role offers competitive compensation, including base pay, stock options, and comprehensive benefits, making it an attractive opportunity for experienced ML professionals looking to make a significant impact.