Sr. Machine Learning Infrastructure Engineer, Creator Studio

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401(k) match

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About this role

Sr. Machine Learning Infrastructure Engineer, Creator Studio Culver City, United States of America At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly! The Creator Studio team needs your help shaping the next generation of creative editing tools by working on pioneering technologies to surprise and delight creative pros and enthusiasts alike. As a Machine Learning Infrastructure engineer, you will be working alongside world-class engineers and creatives to help innovate in the creative space in ways that only Apple can. This is a highly visible and impactful opportunity! In this role you will lead the development of scalable ML data infrastructure, enabling high-quality ML model development and continuous improvement of application features for creatives. Identify, source and ingest multimodal datasets for model development, working backwards from a deep understanding of application features Build scalable and reusable infrastructure components for data pipelines, such as labeling via human annotations or LLMs Build and maintain core tooling and frameworks to support model development, including scalable storage and retrieval systems, A/B comparison visualizations and test harnesses to ensure training vs. inference-time parity Partner with model development teams to manage a shared codebase, build common data processing libraries and profile/optimize ML workloads Analyze real-world user interaction data to uncover gaps in training data distributions and derive model success metrics Minimum Qualifications: BS/MS in Computer Science or related field with 3+ years of relevant industry experience. Proficiency in a high-level programming language (preferably Python) and database query language (e.g.,

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