ML Research Engineer, AI Evaluation Platform

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401(k) match

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About this role

ML Research Engineer, AI Evaluation Platform Seattle, United States of America AI systems are only as trustworthy as the methods used to evaluate them. At Apple, where AI powers experiences for billions of people, getting evaluation right is not a support function-it is a foundational science. Our team, part of Apple Services Engineering, is building that scientific foundation: rigorous, scalable evaluation methodology for LLMs, agentic systems, and human-AI interaction. What makes this team unusual is its interdisciplinary core. You will work alongside measurement scientists (psychometrics, validity theory), ML researchers, and platform engineers-bringing together ML research, statistical rigor, and production engineering. We are looking for an ML Research Engineer who can move fluidly across this landscape: someone who loves implementing the latest techniques in AI, has the engineering instincts to make them robust and scalable, and thrives at the intersection of research and production. This is a combined research and engineering role, sitting with and between research/applied scientists and platform engineers. New evaluation research can be challenging to use at scale-that's where your skills in both machine learning and engineering come into play. On the research side, you will partner with scientists to rapidly prototype their ideas, implement methods from recent papers, run large-scale experiments, and provide critical feedback grounded in your engineering experience. On the engineering side, you will work with platform engineers to bring those research prototypes into production-moving from Python packages on local machines to robust services deployed in the cloud. While past experience in research is not

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