The Video Engineering Data Infrastructure team is working on technologies for future Apple products. We're looking for the right Backend Engineer to join our team and help develop our next generation systems. In this role, you'll work with a highly dynamic team that designs and implements data processing systems for computer vision and deep learning products like FaceID. You will be working with machine learning engineers to develop tools, automation and data pipelines to process massive amounts of data.We are looking for an enthusiastic software engineer with experience in cloud technologies who can build tools to process data for machine learning algorithm teams. As an engineer on our team, your work provides the foundation for a highly collaborative team of hardware, user experience, and deep learning experts. We are looking for engineers that have a high attention to detail, and who can abstract these details into framework level software solutions. In your role as a software engineer you will: Work directly with machine learning engineers to integrate their workflows into reusable data processing solutions Build and maintain processing pipelines, analyze and monitor system performance. Design our future infrastructure systems to meet the growing needs of machine learning algorithms at Apple scale. Contribute across the full stack including the client SDK, API, processing platform, and UI.MS in Computer Science or equivalent experience Experience building and maintaining automated data pipelines Familiarity working with machine learning data workflows, especially for batch processing Proficiency with workflow orchestration tools like Temporal, Airflow, or Dagster Demonstrated foresightedness and self-direction while collaborating effectively with the team Ability to translate feature asks into maintainable, scalable code Experience with front-end development in frameworks like ReactArray