Machine Learning Engineer In Security

????????Apple builds large-scale machine learning systems that protect millions of users from emerging threats and ensure the integrity of its products.The Data and ML Innovation team develops security and abuse detection systems while upholding user privacy.??????Design, build, and deploy production-grade ML models to detect and mitigate abuse across text, image, and audioOwn the full ML lifecycle from prototyping and data analysis through deployment, monitoring, and continuous production improvementDrive data strategy by analyzing distribution gaps, contributing to synthetic data pipelines, and creating automated annotation systemsArchitect end-to-end systems for monitoring platform activity, detecting misuse, and triggering real-time automated enforcement actionsCollaborate with engineering, research, and product partners to define project requirements, establish technical direction, and deliver robust security solutions??????????Proven experience shipping machine learning models to production and owning their end-to-end lifecycle from development through deployment and maintenanceStrong familiarity with research fundamentals, machine learning principles, and development methodologies for LLMs, foundation models, and diffusion modelsProficient programming skills in Python and deep learning toolkits such as JAX, PyTorch, or TensorFlowAbility to work with sensitive and offensive content when building security and abuse detection systemsNice to have: BS, MS, or PhD in Computer Science, Machine Learning, or a related field or equivalent qualification, experience fine-tuning or aligning large language models for security or safety applications, experience building large-scale data processing pipelines and ML infrastructure, experience driving technical projects and collaborating with large, diverse, cross-functional teams???????Work location: Barcelona, Catalonia, Spain; Reasonable accommodations are available for applicants; Accessibility is supported in the workplace, benefits, and digital tools.#J-*****-Ljbffr

Proven experience shipping machine learning models to production and owning their end-to-end lifecycle from development through deployment and maintenance Strong familiarity with research fundamentals, machine learning principles, and development methodologies for LLMs, foundation models, and diffusion models Proficient programming skills in Python and deep learning toolkits such as JAX, PyTorch, or TensorFlow Ability to work with sensitive and offensive content when building security and abuse detection systems Nice to have: BS, MS, or PhD in Computer Science, Machine Learning, or a related field or equivalent qualification, experience fine-tuning or aligning large language models for security or safety applications, experience building large-scale data processing pipelines and ML infrastructure, experience driving technical projects and collaborating with large, diverse, cross-functional teams