Senior ML Infrastructure Engineer

Apple is seeking a Senior ML Infrastructure Engineer to join their team focused on machine learning infrastructure and generative AI. The role involves developing robust systems that integrate scalable data pipelines with advanced machine learning workflows, facilitating the creation of AI applications. Responsibilities include working throughout the entire machine learning lifecycle, from experimentation to deployment, and contributing to the optimization and scaling of AI models. The position emphasizes the development of a platform for machine learning data and features, which supports generative AI applications, including tasks like embedding generation, AI operations, and efficient inference. Candidates should have a strong passion for generative models, data-centric machine learning, and intelligent systems applicable to various real-world scenarios. While the advert does not specify the required experience or qualifications, it highlights the importance of creativity and reliability in ML development. The working arrangement details are not mentioned, leaving it unclear whether the position is office-based, hybrid, or remote. This role is ideal for engineers and researchers eager to innovate and make a significant impact in the field of machine learning.