Senior Machine Learning Infrastructure Engineer, Creator Studio

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. nnAs 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!n

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 featuresnBuild scalable and reusable infrastructure components for data pipelines such as labeling via human annotations or LLMsnBuild 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 paritynPartner with model development teams to manage a shared codebase build common data processing libraries and profile/optimize ML workloads nAnalyze real-world user interaction data to uncover gaps in training data distributions and derive model success metrics

BS/MS in Computer Science or related field with 3 years of relevant industry in a high-level programming language (preferably Python) and database query language (e.g. SQL).nnStrong understanding of software engineering best practices especially around data modeling schema design and building maintainable data access developing and optimizing large-scale ML workloads running on distributed processing understanding of an ML-based product to communicate effectively and collaborate with partner teams particularly ML research scientists and to solve everyday problems in innovative to encouraging an open and inclusive work environment.n

Working knowledge of modern database and distributed data processing technologies/frameworks (e.g. Spark Dask Ray Presto Parquet Flink Druid Airflow PostgreSQL).nnExperience with Python package management and build/deployment tooling (e.g. uv poetry hatch).nnExperience optimizing models and algorithms to run efficiently on resource-constrained of cloud platforms and container orchestration technologies (e.g. Kubernetes Docker AWS GCP).nnFamiliarity with iOS ecosystem including the Swift programming with model architectures and various training techniques particularly in the Computer Vision with modern camera ISP and digital image processing algorithms and and keen interest in learning the art and science of photography.