Machine Learning Engineer focused on Evaluation & Insights for the Human-Centered AI team. This role involves architecting evaluation frameworks, designing MLOps pipelines for model assessment, and translating qualitative failure modes into programmatic guardrails and training signals for Foundation Models and generative AI systems. The role also involves collaborating with various teams to ensure AI experiences are reliable, safe, and aligned with human expectations.

Applied Machine Learning Engineer focused on building and maintaining LLM evaluation pipelines for developer tools at Apple. The role emphasizes MLOps/LLMOps, assessing model quality, tracking regressions, and supporting continuous improvement cycles, requiring strong engineering fundamentals and LLM evaluation experience.