Staff Machine Learning Platform Engineer, AI Evaluation

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401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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About this role

Staff Machine Learning Platform Engineer, AI Evaluation Seattle, United States of America Join Apple Services Engineering to build the next generation of AI evaluation systems. We are seeking a staff machine learning platform engineer to lead the architectural design and development of the high availability services and internal tools powering self-service evaluation at scale. You will partner with researchers to operationalize their innovations, transforming complex workflows into intuitive, developer-first platforms. We are looking for builders who thrive in the ambiguity of new initiatives and are passionate about creating scalable infrastructure. We're building the evaluation platform that will serve all of Apple's generative AI and agent systems. This is early-stage work - some scrappy components exist, much is greenfield and we need a staff engineer who can take it from here to org-wide self-service scale. This is not a "maintain the infra" role. You'll make consequential decisions about what to build, what to integrate, and what to say no to then ship it in Python with a small team. Platform architecture & delivery: Own the technical direction for our evaluation platform. Design and build the APIs, SDKs, and orchestration services that turn research-grade evaluation methodology into self-service building blocks other teams ship on top of. You'll start scrappy and intentionally, with line of sight to the scaled version. Productionize ML research: Partner directly with research engineers to assess their code and determine what can be rewritten into clean Python services vs. what requires infrastructure changes (Ray, GPU compute, distributed scheduling). Build

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