Apple is seeking an Applied ML Engineer focused on Responsible AI and Safety to join a team at the forefront of defending Apple's ecosystem. You will help build large-scale machine learning systems that protect millions of users from emerging threats while upholding a strong commitment to user privacy. The ideal candidate has a proven track record of shipping production models and is passionate about tackling complex safety and security challenges using state-of-the-art techniques. In this role, you will design, build, and deploy production-grade ML models that detect and mitigate abuse across multiple modalities (text, image, and audio), owning the full lifecycle from prototyping and data analysis to deployment, monitoring, and continuous improvement in production. You will drive the data strategy to improve model performance by analyzing distribution gaps, contributing to synthetic data pipelines, and creating automated annotation systems. You will architect end-to-end systems for monitoring platform activity, detecting misuse, and triggering automated enforcement actions in real time. You will collaborate with cross-functional partners in engineering, research, and product to define project requirements, establish technical direction, and deliver robust security solutions.

Apple is seeking an Applied ML Engineer focused on Responsible AI and Safety to join a team at the forefront of defending Apple's ecosystem. You will help build large-scale machine learning systems that protect millions of users from emerging threats while upholding a strong commitment to user privacy. The ideal candidate has a proven track record of shipping production models and is passionate about tackling complex safety and security challenges using state-of-the-art techniques. In this role, you will design, build, and deploy production-grade ML models that detect and mitigate abuse across multiple modalities (text, image, and audio), owning the full lifecycle from prototyping and data analysis to deployment, monitoring, and continuous improvement in production. You will drive the data strategy to improve model performance by analyzing distribution gaps, contributing to synthetic data pipelines, and creating automated annotation systems. You will architect end-to-end systems for monitoring platform activity, detecting misuse, and triggering automated enforcement actions in real time. You will collaborate with cross-functional partners in engineering, research, and product to define project requirements, establish technical direction, and deliver robust security solutions.