Apple - Austin, TX
posted about 1 month ago
The Apple Store Online team is at the forefront of delivering a magical, personal digital experience for customers shopping online. As a Machine Learning Engineer, you will play a pivotal role in shaping the algorithms that drive the Apple Online experience. This position involves researching and developing advanced algorithms for product search, recommendation systems, and personalization, ensuring that every customer feels uniquely valued. You will be responsible for conceptualizing, designing, and developing core algorithms that enhance the buying process and personalize the shopping experience across the Apple Online Store. Your work will include developing production algorithms for search and recommendations, running offline experiments, and building online A/B tests to validate your solutions in production systems. You will lead the architecture of complex systems in areas such as Big Data, Semantic Search, and Scalable Services, impacting multiple cross-functional teams. This role requires a strong machine learning background, proven software development skills, and the ability to collaborate effectively within multidisciplinary teams. You will also provide mentorship and leadership within your division, influencing innovation and the implementation of state-of-the-art solutions. In addition to technical skills, you will need to demonstrate strong communication and leadership abilities, prioritize effectively, and maintain a focus on execution in a dynamic environment. The responsibilities of the team include model development and deployment on-device and web, developing back-end data pipelines, and automating machine learning tasks. Collaboration with other engineering teams, including Hardware, QA, and Infrastructure, is essential to ensure that the solutions meet the highest quality standards. The team is committed to fostering an inclusive environment that respects diversity and encourages curiosity and learning.