As an ML Ops Engineer at Apple, you will utilize our advanced tools and processes to deliver high-quality datasets for next-generation ML algorithms, creating exceptional user experiences. You will translate ML-driven experiences into clear, actionable processes that consider hardware, firmware, and software requirements. Your role will involve building data pipelines with an ML-first perspective, developing systems to monitor and ensure data quality, and scaling these systems effectively. Additionally, you will present your solutions to both technical and non-technical stakeholders. The solutions you develop will have a significant impact on future Apple products and the broader ML development ecosystem. Some other responsibilities include, but are not limited to: Partner with multidisciplinary teams, including researchers, engineers, designers, legal, and data experts, to lead innovative data collection projects with a focus on privacy Oversee the creation of intricate user studies that support both research aims and product objectives Innovate and implement new operational strategies and practices Evaluate and enhance existing metrics and protocols to boost data quality and efficiency Quickly adapt to new and emerging hardware and software technologies Play a key role in creating groundbreaking products that improve user experiences Manage multiple active projects involving both emerging and established technologies Thrive in a collaborative and dynamic setting with opportunities for growth